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Search results “Feature-based opinion mining and ranking of universities”
Opinion Mining by Dr. Alsmadi
 
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Symposium of Data Mining Applications (SDMA) 2014. The event is organized by Prince Megrin Data Mining Center (Megdam) presented by Dr. Izzat Alsmadi, associate professor from Prince Sultan University
Views: 305 Megdam Center
Feature Selection in Machine learning| Variable selection| Dimension Reduction
 
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Feature selection is an important step in machine learning model building process. The performance of models depends in the following : Choice of algorithm Feature Selection Feature Creation Model Selection So feature selection is one important reason for good performance. They are primarily of three types: Filter Methods Wrapper Methods Embedded Methods You will learn a number of techniques such as variable selection through Correlation matrix, subset selection, stepwise forward, stepwise backward, hybrid method etc. You will also learn regularization (shrinkage) methods such as lasso and Ridge regression that can well be used for variable selection. Finally you will learn difference between variable selection and dimension reduction ANalytics Study Pack : http://analyticuniversity.com/ Analytics University on Twitter : https://twitter.com/AnalyticsUniver Analytics University on Facebook : https://www.facebook.com/AnalyticsUniversity Logistic Regression in R: https://goo.gl/S7DkRy Logistic Regression in SAS: https://goo.gl/S7DkRy Logistic Regression Theory: https://goo.gl/PbGv1h Time Series Theory : https://goo.gl/54vaDk Time ARIMA Model in R : https://goo.gl/UcPNWx Survival Model : https://goo.gl/nz5kgu Data Science Career : https://goo.gl/Ca9z6r Machine Learning : https://goo.gl/giqqmx Data Science Case Study : https://goo.gl/KzY5Iu Big Data & Hadoop & Spark: https://goo.gl/ZTmHOA
Views: 16127 Analytics University
Opinion Mining Project For Sale
 
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This is a graduation project for sale. Its idea based on opinion mining and review analysis. Contact me for more inforation and previewing the whole project if you want to buy it. Gmail: [email protected] Skype: mohamed.hana11 Egypt Mobile: 01020442063
Views: 72 Mohamed Hana
Opinion Mining and Sentiment Analysis Algorithm Projects
 
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Contact Best Phd Projects Visit us: http://www.phdprojects.org/ http://www.phdprojects.org/cheap-paper-writing-service/
Views: 149 PHD PROJECTS
Weka Tutorial 09: Feature Selection with Wrapper (Data Dimensionality)
 
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This tutorial shows you how you can use Weka Explorer to select the features from your feature vector for classification task (Wrapper method)
Views: 62482 Rushdi Shams
Random Forest - Fun and Easy Machine Learning
 
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Random Forest - Fun and Easy Machine Learning https://www.udemy.com/machine-learning-fun-and-easy-using-python-and-keras/?couponCode=YOUTUBE_ML Hey Guys, and welcome to another Fun and Easy Machine Learning Algorithm on Random Forests. Random forest algorithm is a one of the most popular and most powerful supervised Machine Learning algorithm in Machine Learning that is capable of performing both regression and classification tasks. As the name suggest, this algorithm creates the forest with a number of decision trees. In general, the more trees in the forest the more robust the prediction. In the same way in the random forest classifier, the higher the number of trees in the forest gives the high accuracy results. To model multiple decision trees to create the forest you are not going to use the same method of constructing the decision with information gain or gini index approach, amongst other algorithms. If you are not aware of the concepts of decision tree classifier, Please check out my lecture here on Decision Tree CART for Machine learning. You will need to know how the decision tree classifier works before you can learn the working nature of the random forest algorithm. To learn more on Augmented Reality, IoT, Machine Learning FPGAs, Arduinos, PCB Design and Image Processing then Check out http://www.arduinostartups.com/ Please like and Subscribe for more videos :)
Views: 129774 Augmented Startups
RecSys 2016: Paper Session 3 - Accuracy and Diversity in Cross-domain Recommendations
 
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Ignacio Fernández-Tobías, Paolo Tomeo, Iván Cantador, Tommaso Di Noia, Eugenio Di Sciascio https://doi.org/10.1145/2959100.2959175 Computing useful recommendations for cold-start users is a major challenge in the design of recommender systems, and additional data is often required to compensate the scarcity of user feedback. In this paper we address such problem in a target domain by exploiting user preferences from a related auxiliary domain. Following a rigorous methodology for cold-start, we evaluate a number of recommendation methods on a dataset with positive-only feedback in the movie and music domains, both in single and cross-domain scenarios. Comparing the methods in terms of item ranking accuracy, diversity and catalog coverage, we show that cross-domain preference data is useful to provide more accurate suggestions when user feedback in the target domain is scarce or not available at all, and may lead to more diverse recommendations depending on the target domain. Moreover, evaluating the impact of the user profile size and diversity in the source domain, we show that, in general, the quality of target recommendations increases with the size of the profile, but may deteriorate with too diverse profiles.
Views: 188 ACM RecSys
The 10 Best Places To Live In Alabama | 2018
 
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The 10 Best Places To Live In Alabama For 2018. ============= ► Subscribe for latest video ! ► https://goo.gl/lOasu9 ► Follow me on Twitter: https://goo.gl/srKHao ► Facebook: https://goo.gl/yB9XvG ============= Home to diverse landscapes ranging from mountains and farmland, to river and coastlines, Alabama boasts some of the most picturesque towns in the South. Both residents and tourists enjoy the warm climate in Alabama year round. The Yellowhammer State (named after its state bird) features outdoor amenities like four national forests, Natchez Trace Parkway and inland waterways. There are strong economic sectors in agriculture, aerospace, manufacturing, mining and banking, and top universities include University of Alabama, Auburn University, Troy University and Tuskegee University. From tiny mountain communities to stunning seaside settlements, we round-up 10 of the state’s prettiest places. Here are the 10 best places to live in Alabama for 2018: 1. Auburn. 2. Florence. 3. Madison. 4. Fairhope. 5. Huntsville. 6. Pelham. 7. Mountain Brook. 8. Alabaster. 9. Prattville. 10. Hoover. Thanks for watching this video. I hope it's useful for you. (This article is an opinion based on facts and is meant as infotainment) ============= This video is fair use under U.S. copyright law because it is noncommercial and transformative in nature, uses no more of the original than necessary, and has no negative effect on the market for the original work. Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use." I DO NOT OWN ANY COPYRIGHTS. All rights goes to their respective owners, No copyright infringement intended. If you have any issue with the content used in my channel or you find something that belongs to you, please SEND ME A MESSAGE and i will DELETE it if you want. Thanks for understanding. ►Business email: [email protected]
Views: 37677 Around The World
Product Aspect Ranking and Its Application
 
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Numerous consumer reviews of products are now available on the Internet. Consumer reviews contain rich and valuable knowledge for both firms and users. However, the reviews are often disorganized, leading to difficulties in information navigation and knowledge acquisition. This article proposes a product aspect ranking framework, which automatically identifies the important aspects of products from online consumer reviews, aiming at improving the usability of the numerous reviews. The important product aspects are identified based on two observations: 1) the important aspects are usually commented on by a large number of consumers and 2) consumer opinions on the important aspects greatly influence their overall opinions on the product. In particular, given the consumer reviews of a product, we first identify product aspects by a shallow dependency parser and determine consumer opinions on these aspects via a sentiment classifier. We then develop a probabilistic aspect ranking algorithm to infer the importance of aspects by simultaneously considering aspect frequency and the influence of consumer opinions given to each aspect over their overall opinions. The experimental results on a review corpus of 21 popular products in eight domains demonstrate the effectiveness of the proposed approach. Moreover, we apply product aspect ranking to two real-world applications, i.e., document-level sentiment classification and extractive review summarization, and achieve significant performance improvements, which demonstrate the capacity of product aspect ranking in facilitating real-world applications
Bo Pang: A Web of Opinions for a Web of Concepts
 
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In this talk, we discuss sentiment analysis and opinion mining of user generated content (e.g., reviews, comments) in a concept-centric context, where we gather and analyze information related to a concept (e.g., entities, events, and topics) from a wide range of sources proactively. We present empirical evidence that motivated our work and discuss main research challenges. We then present research efforts in both the gathering (in particular, matching reviews to objects) and the analyzing stages, showing how we benefit from knowledge of objects or identity of users in different tasks.
Views: 727 Rutgers CommInfo
Extreme Classification - New Paradigm for Ranking and Recommendation
 
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The Academic Research Summit, co-organized by Microsoft Research and the Association for Computing Machinery, is a forum to foster meaningful discussion among the Indian computer science research community and raise the bar on research efforts. See more at https://www.microsoft.com/en-us/research/video/extreme-classification-new-paradigm-for-ranking-and-recommendation/
Views: 777 Microsoft Research
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Views: 5277 CryptoBitcoinChris
An Integrated Framework for Opinion Mining and
 
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Technical Session, Faculty of Computing KMA De Abrew, N Pathirage and DU Vidanagama
Machine Learning - Collaborative Filtering & Its Challenges
 
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Enroll in the course for free at: https://bigdatauniversity.com/courses/machine-learning-with-python/ Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This free Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning. This #MachineLearning with #Python course dives into the basics of machine learning using an approachable, and well-known, programming language. You'll learn about Supervised vs Unsupervised Learning, look into how Statistical Modeling relates to Machine Learning, and do a comparison of each. Look at real-life examples of Machine learning and how it affects society in ways you may not have guessed! Explore many algorithms and models: Popular algorithms: Classification, Regression, Clustering, and Dimensional Reduction. Popular models: Train/Test Split, Root Mean Squared Error, and Random Forests. Get ready to do more learning than your machine! Connect with Big Data University: https://www.facebook.com/bigdatauniversity https://twitter.com/bigdatau https://www.linkedin.com/groups/4060416/profile ABOUT THIS COURSE •This course is free. •It is self-paced. •It can be taken at any time. •It can be audited as many times as you wish. https://bigdatauniversity.com/courses/machine-learning-with-python/
Views: 6288 Cognitive Class
How Random Forest algorithm works
 
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In this video I explain very briefly how the Random Forest algorithm works with a simple example composed by 4 decision trees.
Views: 276332 Thales Sehn Körting
Humans Need Not Apply
 
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Discuss this video: http://www.reddit.com/r/CGPGrey/comments/2dfh5v/humans_need_not_apply/ http://www.CGPGrey.com/ https://twitter.com/cgpgrey ## Robots, Etc: Terex Port automation: http://www.terex.com/port-solutions/en/products/new-equipment/automated-guided-vehicles/lift-agv/index.htm Command | Cat MieStar System.: http://www.catminestarsystem.com/capability_sets/command Bosch Automotive Technology: http://www.bosch-automotivetechnology.com/en/de/specials/specials_for_more_driving_safety/automated_driving/automated_driving.html Atlas Update: https://www.youtube.com/watch?v=SD6Okylclb8&list=UU7vVhkEfw4nOGp8TyDk7RcQ Kiva Systems: http://www.kivasystems.com PhantomX running Phoenix code: https://www.youtube.com/watch?v=rAeQn5QnyXo iRobot, Do You: https://www.youtube.com/watch?v=da-5Uw8GBks&list=UUB6E-44uKOyRW9hX378XEyg New pharmacy robot at QEHB: https://www.youtube.com/watch?v=_Ql1ZHSkUPk Briggo Coffee Experience: http://vimeo.com/77993254 John Deere Autosteer ITEC Pro 2010. In use while cultivating: https://www.youtube.com/watch?v=VAPfImWdkDw&t=19s The Duel: Timo Boll vs. KUKA Robot: https://www.youtube.com/watch?v=tIIJME8-au8 Baxter with the Power of Intera 3: https://www.youtube.com/watch?v=DKR_pje7X2A&list=UUpSQ-euTEYaq5VtmEWukyiQ Baxter Research Robot SDK 1.0: https://www.youtube.com/watch?v=wgQLzin4I9M&list=UUpSQ-euTEYaq5VtmEWukyiQ&index=11 Baxter the Bartender: https://www.youtube.com/watch?v=AeTs9tLsUmc&list=UUpSQ-euTEYaq5VtmEWukyiQ Online Cash Registers Touch-Screen EPOS System Demonstration: https://www.youtube.com/watch?v=3yA22B0rC4o Self-Service Check in: https://www.youtube.com/watch?v=OafuIBDzxxU Robot to play Flappy Bird: https://www.youtube.com/watch?v=kHkMaWZFePI e-david from University of Konstanz, Germany: https://vimeo.com/68859229 Sedasys: http://www.sedasys.com/ Empty Car Convoy: http://www.youtube.com/watch?v=EPTIXldrq3Q Clever robots for crops: http://www.crops-robots.eu/index.php?option=com_content&view=article&id=62&Itemid=61 Autonomously folding a pile of 5 previously-unseen towels: https://www.youtube.com/watch?v=gy5g33S0Gzo#t=94 LS3 Follow Tight: https://www.youtube.com/watch?v=hNUeSUXOc-w Robotic Handling material: https://www.youtube.com/watch?v=pT3XoqJ7lIY Caterpillar automation project: http://www.catminestarsystem.com/articles/autonomous-haulage-improves-mine-site-safety Universal Robots has reinvented industrial robotics: https://www.youtube.com/watch?v=UQj-1yZFEZI Introducing WildCat: https://www.youtube.com/watch?v=wE3fmFTtP9g The Human Brain Project - Video Overview: https://www.youtube.com/watch?v=JqMpGrM5ECo This Robot Is Changing How We Cure Diseases: https://www.youtube.com/watch?v=ra0e97Wiqds Jeopardy! - Watson Game 2: https://www.youtube.com/watch?v=kDA-7O1q4oo What Will You Do With Watson?: https://www.youtube.com/watch?v=Y_cqBP08yuA ## Other Credits Mandelbrot set: https://www.youtube.com/watch?v=NGMRB4O922I&list=UUoxcjq-8xIDTYp3uz647V5A Moore's law graph: http://en.wikipedia.org/wiki/File:PPTMooresLawai.jpg Apple II 1977: https://www.youtube.com/watch?v=CxJwy8NsXFs Beer Robot Fail m2803: https://www.youtube.com/watch?v=N4Lb_3_NMjE All Wales Ambulance Promotional Video: https://www.youtube.com/watch?v=658aiRoVp6s Clyde Robinson: https://www.flickr.com/photos/crobj/4312159033/in/photostream/ Time lapse Painting - Monster Spa: https://www.youtube.com/watch?v=ED14i8qLxr4
Views: 10501409 CGP Grey
Economics and Probabilistic Machine Learning
 
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David Blei of Columbia University opens the Becker Friedman Institute’s conference on machine learning in economics with an overview of how probabilistic machine learning techniques can be applied in economics.
Online Product Opinion and Ranking System
 
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Online Product Opinion and Ranking System To get this project in ONLINE or through TRAINING Sessions, Contact: JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83.Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai,Thattanchavady, Puducherry -9.Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690, Email: [email protected], web: www.jpinfotech.org, Blog: www.jpinfotech.blogspot.com Recommender systems are becoming increasingly important to individual users and businesses for providing personalized recommendations. However, while the majority of algorithms proposed in recommender systems literature have focused on improving recommendation accuracy, other important aspects of recommendation quality, such as the diversity of recommendations, have often been overlooked. In this paper, we introduce and explore a number of item ranking techniques that can generate recommendations that have substantially higher aggregate diversity across all users while maintaining comparable levels of recommendation accuracy. Comprehensive empirical evaluation consistently shows the diversity gains of the proposed techniques using several real-world rating datasets and different rating prediction algorithms.
Views: 149 JPINFOTECH PROJECTS
Fortuna | Blockchain Platform For The Global OTC Derivatives Market | Brian Cai | $FOTA Interview
 
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Fortuna (FOTA) is a blockchain based solution for the global OTC derivatives market. It aims to solve major problems such as lack of trust, operational inefficiency, illiquidity, and lack of variety through decentralized consensus algorithm DPOSA, structured smart contracts, a decentralized quote scheme and other features of blockchain. Fortuna introduces a new kind of crypto-token FOTA to unify the exchange media on the platform. All the participants from different areas and jurisdiction will trade derivatives using FOTA. The FOTA in margin account will be supervised for 24/7 and no human being can intervene. The digitalized supervision mode based on crypto-token is much more efficient and transparent compared with the traditional supervision mode carried by commercial banks. Fortuna is an ecological decentralized platform which consists of five functional roles including CoT maker, Trader, Quoter, Marker Maker and Delegate. Fortuna introduces a PuC (Public Contract) trading mode which can offer opportunities for every user of Fortuna to be a market maker and create a new market for a new type of derivative contract which can bring profit for the creator related to the trading volume of the new contract. Fortuna Website: https://www.fota.io Fortuna Telegram: https://t.me/joinchat/HLLR30itYzsgzml2cPkzCA Fortuna Twitter: https://twitter.com/Fortuna_FOTA Fortuna Reddit: https://www.reddit.com/r/FortunaBlockchain/ Brian Cai (Founder & CEO) - Brian received his Master’s degree from Yale University, majored in Computer Science. He has worked at New York, London, Hong Kong, Shanghai and Hangzhou, occupied in investment banking, corporate finance and private banking. Brian has managed over 5 billion USD as the director of private banking department of Zhejiang Provincial Branch of BoComm, which is a national bank in China. Brian takes charge of the strategic design and implementation of Fortuna. Join The “Crypto Zombies” Telegram ►► https://t.me/joinchat/E67b8w-hQrMsZebuCC6peg 🔺Get The Brave Browser Here 👉 https://brave.com/cry542 Buy Cryptos on Huobi ►► http://Huobi.kdub.co Buy Cryptos on Qryptos ►► http://Qryptos.kdub.co Buy Cryptos on Bibox ►► http://Bibox.kdub.co Buy Cryptos on Binance ►► http://Binance.kdub.co My #1 Hardware Wallet ►► http://Ledger.kdub.co Buy Cryptos on KuCoin ►► http://KuCoin.kdub.co Follow me on Twitter ►► http://twitter.com/TheCryptoZombie Join The Telegram ►► https://t.me/joinchat/E67b8w-hQrMsZebuCC6peg DISCLAIMER: I am not a financial advisor. This is not financial advice. This is just my opinion. Always do your own research before investing. I am not responsible for your trades… NKN | New Kind of Network | Connectivity Protocol for Decentralized Shared Internet | Bruce Li $NKN https://youtu.be/WGSYcbuJZp0 Watch this video again because it's awesome: https://youtu.be/usEKc9RA7Vw #cryptozombie #cryptocurrency #blockchain #crypto #bitcoin #btc #eth #ethereum #briancai #otcderivatives #fortuna #fota $BTC $ETH $FOTA
Views: 4601 Crypto Zombie
64 Cosine Similarity Example
 
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For Full Course Experience Please Go To http://mentorsnet.org/course_preview?course_id=1 Full Course Experience Includes 1. Access to course videos and exercises 2. View & manage your progress/pace 3. In-class projects and code reviews 4. Personal guidance from your Mentors
Views: 36178 Oresoft LWC
Free Cryptocurrency Course: Learn Everything You Need to Know About Cryptocurrencies Today!
 
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Want more? Enroll in the full course at: https://www.udemy.com/the-complete-cryptocurrency-course-more-than-5-courses-in-1/?couponCode=WB73018CCC Here are more details on the full 24 hour version of this Comprehensive COMPLETE Cryptocurrency Course! I guarantee that this is THE most thorough cryptocurrency course available ANYWHERE on the market - or your money back (30 day money back guarantee). This course and the many exercises in this course are for beginner or advanced users in any country! By an Award Winning MBA professor who is a top selling online business teacher, top selling author, former Goldman Sachs employee, Columbia MBA (finance major) and venture capitalist who has invested in and sat on the boards of cryptocurrency companies since 2013 and a hedge fund industry veteran and founder. He is also the author of the #1 best selling business course on Udemy. THIS COMPLETE CRYPTOCURRENCY COURSE is 5+ courses in 1! Cryptocurrency Investing Cryptocurrency Mining Cryptocurrency Wallets Cryptocurrency Exchanges Blockchain Creating a Diversified Portfolio & Much More! Also included in this course is a very comprehensive Excel spreadsheet that contains more than 30 Cryptocurrency exercises to help you learn everything you need to know about cryptocurrencies (whether you are a beginner or an advanced user). No prior cryptocurrency or finance or accounting or tech or Excel experience is required to take this course. We Will Cover More than 10 Cryptocurrencies in this Course (and how to buy & sell each one, what are the pros and cons of each one & how to mine each one): Bitcoin Ethereum Ripple Litecoin Monero Zcash Dash NEO Cardano Stellar ...and more (this course will constantly be updated with more cryptocurrencies) We Will Cover More than 5 Wallets in this Course (how to set one up, the pros & cons of all 5 wallet types and how to transfer money between them): QR Code Wallets Four USB Wallets (Trezor. Ledger Nano S, DigitalBitBox & KeepKey) Coinbase Electrum Blockchain ...and more (this course will constantly be updated with more wallets) We Will Cover the More than 5 Exchanges in this Course (how to transact with each one): GDAX Poloniex Kraken Bittrex Gemini Binance ...& more (this course will constantly be updated with more exchanges) Here Are Some More Topics That We Will Cover In This Course: The Future of Money & What is Blockchain? Introduction to 10+ Cryptocurrencies (Mining, Investing & Much More) Create an Investment Portfolio of Cryptocurrencies Understand What Makes a Great Cryptocurrency as A Great Long-Term Investment Introduction to 5+ Wallets to Use to Store Your Cryptocurrencies Introduction to 5+ Exchanges to Use to Buy or Sell Cryptocurrencies Introduction to Mining & Building a Mining PC from Scratch! Cryptocurrency Investment Framework (made in Excel) Watching out for Scams & Managing Risk What Are the Biggest Mistakes New Investors Make in Cryptocurrencies? How to Identify the Next Great Cryptocurrency (What to Look For & Watch Out For) When Should You Buy or Sell a Cryptocurrency? How Do You Read Charts & Look for Buy or Sell Signals What Makes a Great Wallet (What to Look For From Researching a Wallet) Introduction to ICOs + What Makes a Great ICO (What To Look For From Researching An ICO More than 100 Great Online Cryptocurrency Resources You can use the comprehensive Excel exercise document in this course on a Mac or on a PC (I recommend having Excel version 2013 or later in order to complete all of the cryptocurrency exercises in this course). This course and the included comprehensive Complete Cryptocurrency Excel dashboard exercise file is a roadmap for your personal & technical/finance cryptocurrency success. All of the tools you need to be successful with cryptocurrencies are included in this course & the entire course is based on real life Practical Knowledge and experience & not based on theory. Please click the take this course button so you can take your cryptocurrency skills to the next level. Requirements: No prior technology or cryptocurrency or finance or accounting or Excel experience is required to take this course. Please note that Excel 2013 (or a newer version) is recommended in order to complete some of the exercises in this course. The Excel exercises in this course work on the Windows and Mac versions of Excel. Who is the target audience? Anyone in ANY country interested in learning EVERYTHING about cryptocurrency can take this course as this 23+ hour COMPLETE course is 5+ courses in 1 (1: Investing, 2: Mining, 3: Wallets, 4: Blockchain , 5: Transacting, 6: Creating a Diversified Portfolio & Much More!) *** Again, I guarantee that this is THE most thorough cryptocurrency course available ANYWHERE on the market - or your money back (30 day money back guarantee). *** Enroll in the full course at: https://www.udemy.com/the-complete-cryptocurrency-course-more-than-5-courses-in-1/?couponCode=WB73018CCC Thanks, Chris Haroun
NEM (XEM) Massive Upgrade! CoinSwitch Support!!
 
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Safe Hardware Wallet: https://www.ledgerwallet.com/r/cc19 Nem is still a coin that is quite new to my channel, but I noticed some people really liked this coin! I can say I'm not a prof on this coin YET, but I'm learning more about it as we go. Here we go to talk about a upgrade for NEM, they get on Coinswitch, and this can really give it a bit of a lift on the long. Discord link : https://discord.gg/GC59pgZ In here are also some nice free crypto trading calls. Video for results: https://www.youtube.com/watch?v=fHsTjVD7_i8 You can follow me on twitter : https://twitter.com/TheDustyBC Join Binance!: https://www.binance.com/?ref=23056213 To enter the giveaway, comment something nice, like the video and be subscribed! You can buy/try profit trailer on their site: - https://profittrailer.com/pt/DustyBC/ Buy Stuff With BTC Here: https://purse.io/?_r=KEP5Pa Free btc every hour (PAYING): - https://freebitco.in/?r=7257596 $10 Free bitcoin! - https://www.coinbase.com/join/59754a6f9cdd9a00a7a8f21c Awlays be careful with investing. Please do not use more money than you can lose. Where I buy coins: - https://hitbtc.com/?ref_id=5a079487e97f1 - https://www.cryptopia.co.nz/Register?referrer=dustyBC Mining : - Genesismining USE THIS CODE FOR 3% OFF : ZC2PGJ - https://hashflare.io/r/3F080FF7-DustyBC (3% Extra) Other Investments: - USI TECH: https://dustybc.usi-tech.info/ Disclaimer: I am not a financial advisor nor am I giving financial advice. I am sharing my biased opinion based off speculation. You should not take my opinion as financial advice. You should always do your research before making any investment. You should also understand the risks of investing. This is all speculative based investing. trx, tron coinbase, tron price, tron trx price, tron trx, tron, tron price prediction, tron may 31, tron prediction, tron alibaba, tron future prediction, tron reward, tron mainnet, tron testnet, tron june 1, tron coin burn, tron what now, tron airdrop, tron super representatives, tronsr, tron what will happen, tron may 31st, tron exodus, tron partnership, tron future, tron node, tron representative, tron plans, $trx, tron billion, tron whale, new plans, tron rumors, altcoins, cryptocurrency, tron moonshot, ripple xrp, tron march 31st, tron cryptocurrency, tron (trx), cryptocurrency exchange rates, cryptocurrency list 2016, top cryptocurrency list, xem, nem, bitcoin, nem xem, nem crypto, iota, ethereum, ripple, fintech, nem coin, btc, nem cryptocurrency, cryptocurrency, crypto, xem cryptocurrency, crypt0, crypto nick, boxmining, nem blockchain, altcoins, datadash, eth, monero, litecoin, trx, tron, nem price prediction, nem 2018, xem coin review, nem coin review, nem review, nem xem coin, xem on binance, nem xem crypto, xem coin, cryptoasset, trading platform, technology, singapore, japanlaser.online, bitcoininvestclub bitcoin invest club chain.group. giveaway money 0.1btc 0.001 btc ltc lte zec eth btc laser.online scam fatfunds fat fund fatfunds scam fat fund scam free coins ICO hextracoin westerncoin regalcoin glasscoin elektracoin how to get free bitcoin, bitcoins, This is a way to show you how to make free bitcoin, working , why are you reading this? Top 5 hyips december 2017
Views: 722 DustyBC
NLTK Sentiment Analyzer
 
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Views: 89 Ling Tong
Dr. James Tour - Does Science Make Faith Obsolete?
 
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At this special lecture event, Dr. James M. Tour talks about the ways in which science and faith collide.
Views: 9744 BiolaUniversity
Naive Bayes Classification with R | Example with Steps
 
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Provides steps for applying Naive Bayes Classification with R. Data: https://goo.gl/nCFX1x R file: https://goo.gl/Feo5mT Machine Learning videos: https://goo.gl/WHHqWP Naive Bayes Classification is an important tool related to analyzing big data or working in data science field. R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.
Views: 8927 Bharatendra Rai
PubMed
 
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PubMed is a free search engine accessing primarily the MEDLINE database of references and abstracts on life sciences and biomedical topics. The United States National Library of Medicine (NLM) at the National Institutes of Health maintains the database as part of the Entrez system of information retrieval. From 1971 to 1997, MEDLINE online access to the MEDLARS computerized database had been primarily through institutional facilities such as university libraries. PubMed, first released in January 1996, ushered in the era of private, free, home- and office-based MEDLINE searching. The PubMed system was offered free to the public in June 1997, when MEDLINE searches via the web were demonstrated, in a ceremony, by Vice President Al Gore. This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
Views: 147 Audiopedia
Coal, Steam, and The Industrial Revolution: Crash Course World History #32
 
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Mongols Shirts and Crash Course Posters! http://store.dftba.com/collections/crashcourse In which John Green wraps up revolutions month with what is arguably the most revolutionary of modern revolutions, the Industrial Revolution. While very few leaders were beheaded in the course of this one, it changed the lives of more people more dramatically than any of the political revolutions we've discussed. So, why did the Industrial Revolution happen around 1750 in the United Kingdom? Coal. Easily accessible coal, it turns out. All this, plus you'll finally learn the difference between James Watt and Thomas Newcomen, and will never again be caught telling people that your blender has a 900 Newcomen motor. Crash Course World History is now available on DVD! http://store.dftba.com/products/crashcourse-world-history-the-complete-series-dvd-set Follow us! @thecrashcourse @realjohngreen @raoulmeyer @crashcoursestan @saysdanica @thoughtbubbler Like us! ‪http://www.facebook.com/youtubecrashcourse Follow us again! ‪http://thecrashcourse.tumblr.com Support Crash Course on Patreon: http://patreon.com/crashcourse
Views: 3721293 CrashCourse
Data Science: Kaggle GRANDMASTER за полгода? | Павел Плесков, Data Nerds
 
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Подписывайтесь! https://on.fless.pro/subscribe Начать заниматься data science в сентябре 2017, а к февралю 2018 стать экспертом науки о данных и получать офферы на Chief Data Scientist. Думал, такое не возможно, пока не познакомился с Пашей Плесковым из Data Nerds. Внимание: Видео может вызвать FOMO и отвесить пинка под зад. Скоро снова сентябрь =) Хотите повторить? Смотрите, как. Тайм-теги: 00:27 #1 Background 02:35 #2 Data science: с чего все началось? 04:45 #3 KAGGLE GRANDMASTER за 6 месяцев... как? 07:39 #4 Data science: много ли математики нужно на практике? 10:30 #5 Data science: немного о рабочем железе 13:47 #6 Соревнования. Командный опыт 17:42 #7 KAGGLE GRANDMASTER и работа 21:29 #8 Соревнования vs работа 23:19 #9 Чем занимаешься сейчас? 26:43 #10 В чем отличие DATA NERDS и DS в BIG3 28:49 #11 Почему бы не найти работу в США? 30:50 #12 Про планы? 32:31 #13 Пара советов? Другие недавние интервью: - КАК ПОПАСТЬ В БОЛЬШУЮ ТРОЙКУ В 35 ЛЕТ | БОРИС КУЛАХМЕТОВ - https://youtu.be/yT0KtsCjvRw - КАРЬЕРА НА СТЫКЕ DIGITAL И STRATEGY CONSULTING | АНАСТАСИЯ КИМ, IBM iX - https://youtu.be/7kwd_0qYXY4 БУДЕМ НА СВЯЗИ! FLESS https://fless.pro Instagram https://www.instagram.com/flesspro Facebook https://www.facebook.com/flesspro VK https://vk.com/flesspro Telegram https://t.me/flesspro
Views: 9882 Fless
META: A Unifying Framework for the Management and Analysis of Text Data part 1
 
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Author: ChengXiang Zhai, Department of Computer Science, University of Illinois at Urbana-Champaign Chase Geigle, Department of Computer Science, University of Illinois at Urbana-Champaign Abstract: Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. This has led to an increasing demand for powerful software tools to help people manage and analyze vast amount of text data effectively and efficiently. Unlike data generated by a computer system or sensors, text data are usually generated directly by humans for humans. This has two consequences. First, since text data are generated by people, they are especially valuable for discovering knowledge about human opinions and preferences, in addition to many other kinds of knowledge that we encode in text. Second, since text is written for consumption by humans, humans play a critical role in any text data application system, and a text management and analysis system must involve them in the loop of text analysis. Existing toolkits supporting text management and analysis tend to fall into two categories. The first is search engine toolkits, which are especially suitable for building a search engine application, but tend to have limited support for text analysis/mining functions. Examples include Lucene, Terrier, and Indri/Lemur. The second is text mining or general data mining and machine learning toolkits, which tend to selectively support some text analysis functions, but generally do not support search capability. However, seamless integration of search engine capabilities with various text analysis functions is necessary due to two reasons. First, while the raw data may be large for any particular problem, it is often a relatively small subset of the data that are relevant, and a search engine is an essential tool for quickly discovering a small subset of relevant text data in a large text collection. Second, search engines are needed to help analysts interpret any patterns discovered in the data by allowing them to examine the relevant original text data to make sense of any discovered pattern. A main design philosophy of MeTA, which also differentiates MeTA from all the existing toolkits, is its emphasis on the tight integration of search capabilities (indeed, text access capabilities in general) with text analysis functions, enabling it to provide full support for building a powerful text analysis application. Another design philosophy of MeTA is to facilitate education and research experiments with various algorithms. In this direction, it is similar to Indri/Lemur in its emphasis on modularity and extensibility achieved through object-oriented design. It enables flexible configuration of a selected subset of modules so as to make it easy for designing course assignments or experimenting with a few selected algorithms as needed in focused research projects. For example, it has been successfully used in a MOOC on Text Retrieval and Search Engines where over one thousand Coursera learners have used the toolkit to finish a large programming assignment. It will be used again for supporting programming assignments for another upcoming MOOC on Text Mining and Analytics. https://meta-toolkit.org/KDD2017 More on http://www.kdd.org/kdd2017/ KDD2017 Conference is published on http://videolectures.net/
Views: 158 KDD2017 video
David Wilcock | Corey Goode: The Antarctic Atlantis [MUST SEE LIVE DISCLOSURE!]
 
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Are we about to hear that ancient ruins have been found in Antarctica? Is there an Alliance working to defeat the greatest threat humanity has ever faced on earth? Could the Antarctic Atlantis be part of a full or partial disclosure? Join David Wilcock on a thrill ride of discovery, beginning with Part One where he presents data on the Secret Space Program and shares the stage with legendary insider Corey Goode. This is the best public summary David and Corey have done of this amazing story that has captivated the UFO community. Part Two begins at the 53-minute mark, with David connecting the dots between intel from multiple insiders to arrive at a stunning conclusion -- that we are on the verge of major new releases of information that will transform everything we thought we knew about life on earth. A civilization of "Pre-Adamite" giants with elongated skulls appears to have crash-landed on a continent we now call Antarctica some 55,000 years ago. Various groups we collectively call the Alliance are working to defeat the Cabal / Illuminati / New World Order, thus making the headlines crazier by the day. If the Alliance succeeds, their plan is now to begin the disclosure process by telling us there was a civilization in Antarctica. We are already seeing multiple, compelling hints of this in corporate media. Find out what the insiders are telling us and help spread the word! This is a two-and-a-half-hour excerpt from David's Friday and Saturday presentations at the Conscious Life Expo 2017. In their original form they run six hours. David also spoke for three hours on Monday, presenting an incredible new model of the Cosmos based on sacred geometry -- and proving that the Sun is going to release a DNA-transforming burst of energy in our near future. Go to http://consciouslifestream.com to order the complete nine-hour set of videos, known as the David Wilcock Trilogy Pass. Reposting this video is stealing, so please share the link with your friends but do not re-upload it anywhere else. Our team does issue takedowns and it could lead to the loss of your channel. Please help us by subscribing to this channel! And make sure to check out David on Gaia at http://gaia.com/davidwilcock. You can see everything he has on the network, along with 7000 other unique metaphysical and Seeking Truth titles, for 99 cents in the first month. Lastly, sign up at http://dwilcock.com to be notified of new articles and videos upon release, and to get free gifts and Ascension updates from David as they become available. Thank you for your support!
Ever wonder how Bitcoin (and other cryptocurrencies) actually work?
 
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Bitcoin explained from the viewpoint of inventing your own cryptocurrency. Videos like these made possible by patreon: https://patreon.com/3blue1brown Protocol Labs: https://protocol.ai/ Interested in contributing? https://protocol.ai/join/ Special thanks to the following patrons: http://3b1b.co/btc-thanks Some people have asked if this channel accepts contributions in cryptocurrency form as an alternative to Patreon. As you might guess, the answer is yes :). Here are the relevant addresses: ETH: 0x88Fd7a2e9e0E616a5610B8BE5d5090DC6Bd55c25 BTC: 1DV4dhXEVhGELmDnRppADyMcyZgGHnCNJ BCH: qrr82t07zzq5uqgek422s8wwf953jj25c53lqctlnw LTC: LNPY2HEWv8igGckwKrYPbh9yD28XH3sm32 Supplement video: https://youtu.be/S9JGmA5_unY Music by Vincent Rubinetti: https://soundcloud.com/vincerubinetti/heartbeat Here are a few other resources I'd recommend: Original Bitcoin paper: https://bitcoin.org/bitcoin.pdf Block explorer: https://blockexplorer.com/ Blog post by Michael Nielsen: https://goo.gl/BW1RV3 (This is particularly good for understanding the details of what transactions look like, which is something this video did not cover) Video by CuriousInventor: https://youtu.be/Lx9zgZCMqXE Video by Anders Brownworth: https://youtu.be/_160oMzblY8 Ethereum white paper: https://goo.gl/XXZddT Music by Vince Rubinetti: https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown ------------------ 3blue1brown is a channel about animating math, in all senses of the word animate. And you know the drill with YouTube, if you want to stay posted on new videos, subscribe, and click the bell to receive notifications (if you're into that). If you are new to this channel and want to see more, a good place to start is this playlist: http://3b1b.co/recommended Various social media stuffs: Website: https://www.3blue1brown.com Twitter: https://twitter.com/3Blue1Brown Patreon: https://patreon.com/3blue1brown Facebook: https://www.facebook.com/3blue1brown Reddit: https://www.reddit.com/r/3Blue1Brown
Views: 2170089 3Blue1Brown
2016 Lecture 06 Maps of Meaning: Part I: The primordial narrative
 
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Our experience takes narrative form, under the influence of biological, cultural and uniquely individual forces. This is partly because our minds are based in social cognition. Experience manifests itself comprehensibly as the unknown itself, the great dragon of chaos; the unknown as we experience it, the great mother; culture, the great father, and the individual, the center of conscious being, Each of these categories manifests itself in action. Each has a positive and negative element. Want to support this channel? Patreon: https://www.patreon.com/jordanbpeterson Self Authoring: http://selfauthoring.com/ Jordan Peterson Website: http://jordanbpeterson.com/ Podcast: http://jordanbpeterson.com/jordan-b-peterson-podcast/ Reading List: http://jordanbpeterson.com/2017/03/great-books/ Twitter: https://twitter.com/jordanbpeterson
Views: 88070 Jordan B Peterson
Facebook CEO Mark Zuckerberg testifies before Congress on data scandal
 
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Facebook CEO Mark Zuckerberg will testify today before a U.S. congressional hearing about the use of Facebook data to target voters in the 2016 election. Zuckerberg is expected to offer a public apology after revelations that Cambridge Analytica, a data-mining firm affiliated with Donald Trump's presidential campaign, gathered personal information about 87 million users to try to influence elections. »»» Subscribe to CBC News to watch more videos: http://bit.ly/1RreYWS Connect with CBC News Online: For breaking news, video, audio and in-depth coverage: http://bit.ly/1Z0m6iX Find CBC News on Facebook: http://bit.ly/1WjG36m Follow CBC News on Twitter: http://bit.ly/1sA5P9H For breaking news on Twitter: http://bit.ly/1WjDyks Follow CBC News on Instagram: http://bit.ly/1Z0iE7O Download the CBC News app for iOS: http://apple.co/25mpsUz Download the CBC News app for Android: http://bit.ly/1XxuozZ »»»»»»»»»»»»»»»»»» For more than 75 years, CBC News has been the source Canadians turn to, to keep them informed about their communities, their country and their world. Through regional and national programming on multiple platforms, including CBC Television, CBC News Network, CBC Radio, CBCNews.ca, mobile and on-demand, CBC News and its internationally recognized team of award-winning journalists deliver the breaking stories, the issues, the analyses and the personalities that matter to Canadians.
Views: 125822 CBC News
What is UPI ??| Unified Payment Interface [Hindi] | UPI App
 
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Hello Friends..... What is UPI ??| Unified Payment Interface [Hindi] Please don't forget to LIKE, SHARE & COMMENT!! 1st Vlog Celebration of Ganesh Chaturthi #RisingInfo https://www.youtube.com/watch?v=CrzcURTVrQk Thank you for watching. Share my videos with your friends, to get update please subscribe now, ▷ CONNECT with us!! : Web Site ♥ Subscribe : http://www.youtube.com/c/RisingInfo ♥ Facebook : https://goo.gl/1p38so ♥ Twitter : https://twitter.com/RisingInfoKittu ♥ Google + : https://plus.google.com/u/0/+RisingInfo ♥ BUSINESS INQUIRY ♥ [email protected] DISCLAIMER: The information provided on this channel and its videos is for general purposes only and should NOT be considered as professional advice. We always try our best to provide accurate information and sound advice but please note that we are not a licensed professional or a medical practitioner so always make sure you consult a professional in case of need. All products/services reviewed on this channel have been purchased by me unless stated otherwise. We always try to keep our channel and its content updated but we cannot guarantee it. All opinions expressed here are our own and we are not compensated by any brand, advertiser, PR representative or affiliate for the same unless explicitly stated in our videos and/or description box. We never try to push products on anyone but we do make recommendations based on our personal experience. In case you need to use our content for any purpose please write to us -: [email protected] upi upi poll upi news upitt upike upir upin upin number upin ipin upike joule upi poll upi news upi india upi cvoter poll upi presidential poll upi odd news upi app upi rev spring upi tracking poll upi poll trump upi app upi acronym upi almanac upi assistant upi address upi app india upi archives upi aurora co upi api upi aurora upi bias upi bank upi breaking news upi basketball poll upi billing upi builders upi bandung upi bill pay upi bus upi building upi cvoter poll upi colorado upi college football rankings upi chemicals upi cvoter tracking poll upi code upi cv poll upi cvoter poll accuracy upi college football poll upi careers upi definition upi daily tracking poll upi duluth mn upi disease upi daybreak poll upi defense rankings upi denver upi daily poll upi daily tracking upi dairy sales upi football poll upi football picks upi fantasy football upi funny news upi football upi fantasy rankings upi full form upi fontana ca upi football predictions upi faculty physicians inc upi goldberg upi gateway upi gallery upi gas upi giants vs eagles upi garland uri geller upi general election poll upi grow upi gallipolis upi hdfc upi houston upi health upi hillsboro upi handle upi heater upi herbicides upi headquarters upi history upi holidays upi india upi id upi inc upi international upi infection upi insurance upi india app upi images upi intel upi india payments upi jaya upi jobs upi jaya menu upi jaya halal upi jaya restaurant upi jaya elmhurst ny upi jaya hours upi jfk assassination upi jakarta upi jurusan upi electoral map upi electoral college upi election polls upi eagle wi upi ebay upi energy upi entertainment upi electoral college polls upi education upi election results upi news upi number upi nfl picks upi nfl upi national champions upi nfl predictions upi news wiki upi news app upi national poll upi npci upi odd news upi of conway upi online upi ownership upi obstetrics upi online poll upj obstruction upi poll upi ohio poll upi odd stories upi logo upi lab upi lookup upi llc upi latest poll upi link upi long point upi lights uip lung upi livestock rupi kaur upi king of prussia upik upi kotak upi korea rupi kaur quotes rupi kaur poems rupi kaur milk and honey rupi kaur ted talk rupi kaur milk and honey pdf upi poll upi presidential poll upi poll trump upi poll bias upi payment upi poll electoral college upi predictions upi photos upi poll 538 upi pipeline upi manufacturing upi marketing upi meaning upi manchester upi mount vernon ohio upi map upi money transfer upi michigan upi marion mi upi management upi qb rankings upi quarterback rankings upi quarterback upi quirks in the news upi qb upi qr code upi quora upi qr code generator upi qr upi questions upi state polls upi sports upi stands for upi space daily upi sbi upi steel upi state tracking poll upi semiconductor upi stock upi security upi rev spring upi running back rankings upi rb rankings upi rankings upi rbi upi rankings football upi rss upi reviews upi rbi app upi rogers ar upi university upi usa upi utah upi unified payment interface upi upi upi ussd upi university of colorado upi usa news upi urine upi urban dictionary upi wiki upi weird news upi wire service upi wr rankings upi world news upi website upi wide receivers upi wisconsin upi wide receiver rankings upi wallet upi you upi tracking
Views: 18422 RisingInfo
When to Make a Topic Popular Again? A Temporal Model for Topic Re-hotting Prediction
 
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When to Make a Topic Popular Again? A Temporal Model for Topic Re-hotting Prediction in Online Social Networks To get this project in ONLINE or through TRAINING Sessions, Contact: JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83.Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #37, Kamaraj Salai,Thattanchavady, Puducherry -9.Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690, Email: [email protected], web: http://www.jpinfotech.org It is really popular to detect hot topics, which can benefit many tasks including topic recommendations, the guidance of public opinions, and so on. However, in some cases, people may want to know when to re-hot a topic, i.e., make the topic popular again. In this paper, we address this issue by introducing a temporal User Topic Participation (UTP) model which models users’ behaviors of posting messages. The UTP model takes into account users’ interests, friend-circles, and unexpected events in online social networks. Also, it considers the continuous temporal modeling of topics, since topics are changing continuously over time. Furthermore, a weighting scheme is proposed to smooth the fluctuations in topic re-hotting prediction. Finally, experimental results conducted on real-world data sets demonstrate the effectiveness of our proposed models and topic re-hotting prediction methods.
Views: 145 jpinfotechprojects
Analyzing Sentiments in One Go: A Supervised Joint Topic Modeling Approach
 
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Analyzing Sentiments in One Go: A Supervised Joint Topic Modeling Approach To get this project in ONLINE or through TRAINING Sessions, Contact: JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83.Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #37, Kamaraj Salai,Thattanchavady, Puducherry -9.Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690, Email: [email protected], web: http://www.jpinfotech.org In this work, we focus on modeling user-generated review and overall rating pairs, and aim to identify semantic aspects and aspect-level sentiments from review data as well as to predict overall sentiments of reviews. We propose a novel probabilistic supervised joint aspect and sentiment model (SJASM) to deal with the problems in one go under a unified framework. SJASM represents each review document in the form of opinion pairs, and can simultaneously model aspect terms and corresponding opinion words of the review for hidden aspect and sentiment detection. It also leverages sentimental overall ratings, which often comes with online reviews, as supervision data, and can infer the semantic aspects and aspect-level sentiments that are not only meaningful but also predictive of overall sentiments of reviews. Moreover, we also develop efficient inference method for parameter estimation of SJASM based on collapsed Gibbs sampling. We evaluate SJASM extensively on real-world review data, and experimental results demonstrate that the proposed model outperforms seven well-established baseline methods for sentiment analysis tasks.
Views: 498 jpinfotechprojects
The RuneScape Documentary - 15 Years of Adventure
 
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#TwitchPrime – 1 Month free #RuneScape membership & exclusive loot: https://rs.game/TwitchPrimeYT Play RuneScape free now: http://bit.ly/PlayRuneScapeNOW The RuneScape Documentary is here! Find out how one of the most successful MMORPGs of all time came to being – from humble beginnings in the Gower Brothers’ family home to reaching our 250 millionth account in 2016, and all the thrills and spills in between. We give you ’15 Years of Adventure’ – a History of RuneScape. Featuring interviews with some of the most famous RuneScape players of all time (including the legendary Zezima), as well as Jagex staff past and present, it’s essential viewing for gaming fans the world over. We hope you enjoy! Remember to subscribe and share this RuneScape movie using #15YearsOfAdventure! For more RuneScape history videos, you can follow this great channel: https://www.youtube.com/channel/UC40WkzHQLHf6uLMw1If6T-A/videos Join our other communities! Join us on: Twitch - http://www.twitch.tv/runescape Reddit - http://www.reddit.com/r/runescape Twitter - http://twitter.com/runescape Facebook - http://www.facebook.com/runescape www.runescape.com #RuneScape
Views: 1608341 RuneScape
The National for Monday, Sept. 17, 2018 — MP Crosses Floor, Typhoon, Pot Business
 
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Welcome to The National, the flagship nightly newscast of CBC News »»» Subscribe to The National to watch more videos here: https://www.youtube.com/user/CBCTheNational?sub_confirmation=1 Voice Your Opinion & Connect With Us Online: The National Updates on Facebook: https://www.facebook.com/thenational The National Updates on Twitter: https://twitter.com/CBCTheNational »»» »»» »»» »»» »»» The National is CBC Television's flagship news program. Airing six days a week, the show delivers news, feature documentaries and analysis from some of Canada's leading journalists.
Views: 11203 CBC News: The National
Monaco (MCO) How to Spend Your Crypto on Visa | MCO Coin | Spend Crypto Visa Card FREE
 
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Views: 1146 Kung Fu Nerd
Dr. Bruce Croft: Exploring the Relationship between Summarization and Diversity
 
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Exploring the Relationship between Summarization and Diversity Dr. Bruce Croft University of Massachusetts Oct 24, Fri, 2014 Summarization and diversification are usually regarded as separate areas of IR. Term-based summaries of multiple documents and diversification algorithms do, however, have some strong similarities in terms of optimizing a mixture of topicality and coverage. In this talk, I will explore this relationship in the context of a recent term-based approach to diversity that focuses on the vocabulary of retrieved documents rather than inferring the subtopics. I will also give an example of how diversification could be used to measure the effectiveness of opinion summaries for microblog data. Bio Bruce Croft is a Distinguished Professor in the School of Computer Science at the University of Massachusetts Amherst, which he joined in 1979. In 1992, he founded the Center for Intelligent Information Retrieval (CIIR), which combines basic research with technology transfer to a variety of government and industry partners. Dr. Croft was Chair of the department from 2001-2007. He received the B.Sc.(Honors) degree in 1973, and an M.Sc. in Computer Science in 1974 from Monash University in Melbourne, Australia. His Ph.D. in Computer Science was from the University of Cambridge, England in 1979. His research interests are in many areas of information retrieval, including retrieval models, representation, web search, and query processing. He has published more than 250 articles on these and other subjects. His h-index is 87 according to Google Scholar. Through the joint Lemur Project with CMU, his group has provided open-source search engines and research tools to many in the academic and industrial IR community. Dr. Croft has been a member of the National Research Council Computer Science and Telecommunications Board, and Editor-in-Chief of ACM Transactions on Information Systems. He was elected a Fellow of ACM in 1997, and received the Research Award from the American Society for Information Science and Technology in 2000, the Gerard Salton Award from the ACM Special Interest Group in Information Retrieval (SIGIR) in 2003, the Tony Kent Strix Award in 2013, and the IEEE Computer Society Technical Achievement Award in 2014. Speaker webpage: http://ciir.cs.umass.edu/personnel/croft.html
Views: 173 Ting-Hao Huang
Confirmation hearing for Supreme Court nominee Judge Brett Kavanaugh
 
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Confirmation hearing for Supreme Court nominee Judge Brett Kavanaugh. Full video here: https://cs.pn/2PuThMw
Views: 66913 C-SPAN
Confirmation hearing for Supreme Court nominee Judge Brett Kavanaugh (Day 2)
 
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Confirmation hearing for Supreme Court nominee Judge Brett #Kavanaugh (Day 2, PArt 1) - LIVE at 9:30am ET on C-SPAN3, C-SPAN Radio & online here: https://cs.pn/2NRS3KW
Views: 112374 C-SPAN
Text By the Bay 2015: Nima Sarshar, Using Big Data to Identify the World's Top Experts
 
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In this talk, we report on our implementation of a big data system that is able to automatically identify and rank experts in a large number of categories by ingesting and analyzing millions of pieces of content published across the Web every day. We adopt a principled approach to defining who an expert is. An expert is someone who (a) writes consistently about a small set of tightly related topics; if you are an expert in everything, you are an expert in nothing, and (b) who has a loyal following that engages with her contents consistently and finds them useful, and © who actually expresses opinions on the topics he writes about rather than merely breaking the news. Formulating the above criteria, and implementing it at scale, is a daunting big data task. Firstly we needed to form a rather comprehensive picture of the body of works published by authors that often write on many different outlets and at times under different aliases. Secondly, we had to create a dynamic topical model that learns the relationship between tens of thousands of topics by analyzing millions of documents. Thirdly, we had to come up with a formula that results in a stable, consistent, ranking, that is robust to fluctuations in publishing patterns and engagement data, yet is adaptable to allow in for new experts and their voices to be heard. -- Experts vs. Influencers: defining who an expert is -- Unifying identities of authors across sites -- A dynamic topical model that scales -- Projection of topics onto authors -- Opinion vs. Sentiment vs. Statement of Facts -- Putting it all together -- A note on architecture As inPowered’s CTO, Nima leads the development of the core technologies at the heart of inPowered, and oversees all aspects of engineering and product development. Once a tenured professor with 50+ peer-reviewed publications, Nima left academia to found Haileo Inc., a startup specializing in visual search. He was a Principal Data Scientist at Intuit, before joining inPowered. Nima hold’s an M.Sc. from UCLA and a Ph.D. from McMaster University, both in Electrical Engineering. ---------------------------------------------------------------------------------------------------------------------------------------- Scalæ By the Bay 2016 conference http://scala.bythebay.io -- is held on November 11-13, 2016 at Twitter, San Francisco, to share the best practices in building data pipelines with three tracks: * Functional and Type-safe Programming * Reactive Microservices and Streaming Architectures * Data Pipelines for Machine Learning and AI
Views: 229 FunctionalTV
George Hotz | Livecoding twitchchess | a simple neural chess AI | part1
 
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Date of stream 25 Jun 2018. Live-stream chat added as Subtitles/CC - English (Twitch Chat). Stream title: twitchchess: a simple neural chess AI. how long will it take to beat me? Video archive: - https://youtube.com/commaaiarchive/playlists Source files: - https://github.com/geohot/twitchchess Follow for notifications: - https://twitch.tv/tomcr00s3/ Subscribe to support: - https://twitch.tv/products/tomcr00s3_3000 We archive George Hotz videos for fun. Follow for notifications: - https://twitter.com/commaaiarchive We are not affiliated with comma.ai. Official communication channels: - https://comma.ai - https://twitter.com/comma_ai - https://pscp.tv/comma_ai - https://github.com/commaai - http://slack.comma.ai - https://community.comma.ai - https://comma.ai/jobs - https://comma.ai/shop
Views: 4433 commaai archive
Morten Kromberg, CTO, Dyalog Ltd. | Talks at Google
 
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APL is a member of the family of languages that are approaching middle age (Ken Iverson’s book titled “A Programming Language” was published in 1962). APL was very influential in the 60’s and 70’s, and widely used to deliver “end user computing” - but although the REPL, dynamic scope and lack of a type system endeared APL to domain experts, it also drew fire from computer scientists, most famously when Edsger Dijkstra declared that “APL is a mistake, carried through to perfection. It is the language of the future for the programming techniques of the past it creates a new generation of coding bums.” Dyalog is a modern, array-first, multi-paradigm programming language, which supports functional, object-oriented and imperative programming based on an APL language kernel. Dyalog allows people with good ideas – from bright high school students to PhDs – to contribute directly to the software development process using a notation which fits comfortably with those used in their own domains. Subject matter experts can write prototypes or, with suitable training and/or support, highly efficient, parallel and robust code that can be embedded in high-performance production applications.
Views: 6224 Talks at Google