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Bitcoin Price Prediction using Sentiment Analysis
 
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Bitcoin price prediction using Sentiment Analysis on Twitter & Reddit data, LSTM Sequence-to-Sequence deep learning model and realtime SMS notification to Buy/Sell bitcoins using Twilio API. Github Link to code: https://github.com/Sapphirine/BITCOIN-PRICE-PREDICTION-USING-SENTIMENT-ANALYSIS
Views: 1507 Sriharsha Sammeta
Twitter Sentiment Analysis - Learn Python for Data Science #2
 
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In this video we'll be building our own Twitter Sentiment Analyzer in just 14 lines of Python. It will be able to search twitter for a list of tweets about any topic we want, then analyze each tweet to see how positive or negative it's emotion is. The coding challenge for this video is here: https://github.com/llSourcell/twitter_sentiment_challenge Naresh's winning code from last episode: https://github.com/Naresh1318/GenderClassifier/blob/master/Run_Code.py Victor's Runner up code from last episode: https://github.com/Victor-Mazzei/ml-gender-python/blob/master/gender.py I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ More on TextBlob: https://textblob.readthedocs.io/en/dev/ Great info on Sentiment Analysis: https://www.quora.com/How-does-sentiment-analysis-work Great sentiment analysis api: http://www.alchemyapi.com/products/alchemylanguage/sentiment-analysis Read over these course notes if you wanna become an NLP god: http://cs224d.stanford.edu/syllabus.html Best book to become a Python god: https://learnpythonthehardway.org/ Please share this video, like, comment and subscribe! That's what keeps me going. Feel free to support me on Patreon: https://www.patreon.com/user?u=3191693 Two Minute Papers Link: https://www.youtube.com/playlist?list=PLujxSBD-JXgnqDD1n-V30pKtp6Q886x7e Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 231417 Siraj Raval
Reading Bitcoin Sentiment | Three Stages
 
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The second video in my sentiment reading series. This video covers the three stages of an uptrend and how to buy at market bottoms and sell at market tops within stage 3 of a trend. Sentiment Cheat Sheet: https://goo.gl/6gdtUr Timestamps: Three Stages Theory: 1:22 First Example: 3:11 Second Example: 5:12 Third Example: 7:22 Where will BTC go - test: 9:54 Join Coinbase with this referral code for $10 free of Bitcoin after making a trade of $100 or more! : https://www.coinbase.com/join/5a261777dce5a8011ba23007 Suggest a video on Patreon: https://www.patreon.com/BitcoinTradingChallenge Site used: https://www.bfxdata.com/positions/btcusd An even better Sentiment Provider than BFXdata: https://datamish.com/dashboard/db/btcusd?refresh=10s&orgId=1 The Platform I use to Trade - https://exchange.gemini.com/ The Website I use for Analysis - https://cryptowat.ch/gemini/btcusd My Discord Chat: https://discord.gg/MSrNkbg _________________________________________________________________________________________________ Disclaimer: The content covered in this video is NOT investment advice and I am not a financial advisor. The material covered within these videos is for educational purposes only. Always do your own research and only invest based on your own findings and personal judgment. Happy Trading!
Python and Pandas for Sentiment Analysis and Investing 2 - Pandas Basics
 
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Full Python + Pandas + Sentiment analysis Playlist: http://www.youtube.com/watch?v=0ySdEYUONz0&list=PLQVvvaa0QuDdktuSQRsofoGxC2PTSdsi7&feature=share This video tutorial is dedicated to teaching the basics of using Pandas with Python. In this example we grab stock prices from Yahoo Finance, learn how to access specific columns, how to modify columns, add columns, delete columns, and perform basic math on them. This series uses python with Pandas for data analysis. Our data set will be a database dump from Sentdex.com sentiment analysis, containing about 600 stocks, mostly S&P 500 stocks. Pandas is used to work with our data quickly and efficiently. The ideas of Pandas is to act as a sort of framework for quickly analyzing data and modeling it. Sentiment Analysis data: http://sentdex.com/downloads/stocks_sentdex.csv.gz Matplotlib Styles video: https://www.youtube.com/watch?v=WmhdQdx8Gjo Python Module downloads: (Get all of the listed dependencies, or at least the major ones like NumPy, Dateutils, Matplotlib, ) http://www.lfd.uci.edu/~gohlke/pythonlibs/#pandas https://www.python.org/downloads/ http://matplotlib.org/downloads.html http://www.numpy.org/ http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6
Views: 13115 sentdex
Twitter Sentiment Analysis Using TWEEPY
 
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Twitter is a popular microblogging service where users create status messages (called "tweets"). These tweets sometimes express opinions about different topics. The purpose of this project is to build an algorithm that can accurately classify Twitter messages as positive or negative, with respect to a query term. Our work is that we can obtain high accuracy on classifying sentiment in Twitter messages using machine learning techniques. Generally, this type of sentiment analysis is useful for consumers who are trying to research a product or service, or marketers researching public opinion of their company.
Views: 93 RAHUL SHARMA
A Sentiment Analysis App Built on IBM Watson... WatermelonBlock Review
 
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Views: 5123 I Love Crypto
Sentiment Analysis in Python with TextBlob and VADER Sentiment (also Dash p.6)
 
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What's going on everyone and welcome to a quick tutorial on doing sentiment analysis with Python. Today, I am going to be looking into two of the more popular "out of the box" sentiment analysis solutions for Python. The first is TextBlob, and the second is going to be Vader Sentiment. Text tutorials and sample code: https://pythonprogramming.net/sentiment-analysis-python-textblob-vader/ Reviews files: https://pythonprogramming.net/static/downloads/short_reviews/ Discord: https://discordapp.com/invite/3jCqXJj Support the content: https://pythonprogramming.net/support-donate/ Twitter: https://twitter.com/sentdex Facebook: https://www.facebook.com/pythonprogramming.net/ Twitch: https://www.twitch.tv/sentdex G+: https://plus.google.com/+sentdex
Views: 17638 sentdex
Real-Time Sentiment Analysis on Cryptocurrency Using Tweets
 
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Performing a real-time sentiment analysis on cryptocurrency in Python
Views: 76 Zach Yaldo
Presentation Analyse de sentiments
 
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-- Created using PowToon -- Free sign up at http://www.powtoon.com/youtube/ -- Create animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.
Views: 290 kent AQUEREBURU
Sentiment Analysis on Twitter Data
 
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IRE Project under Guidence of Vasudeva Varma nd Lokesh Walase-- Created using PowToon -- Free sign up at http://www.powtoon.com/youtube/ -- Create animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.
Views: 198 balu selva
Python and Pandas for Sentiment Analysis and Investing 6 - Basics for a Strategy
 
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Full Python + Pandas + Sentiment analysis Playlist: http://www.youtube.com/watch?v=0ySdEYUONz0&list=PLQVvvaa0QuDdktuSQRsofoGxC2PTSdsi7&feature=share This series uses python with Pandas for data analysis. Our data set will be a database dump from Sentdex.com sentiment analysis, containing about 600 stocks, mostly S&P 500 stocks. Pandas is used to work with our data quickly and efficiently. The ideas of Pandas is to act as a sort of framework for quickly analyzing data and modeling it. Sentiment Analysis data: http://sentdex.com/downloads/stocks_sentdex.csv.gz Python Module downloads: (Get all of the listed dependencies, or at least the major ones like NumPy, Dateutils, Matplotlib, ) http://www.lfd.uci.edu/~gohlke/pythonlibs/#pandas https://www.python.org/downloads/ http://matplotlib.org/downloads.html http://www.numpy.org/ Matplotlib Styles video: https://www.youtube.com/watch?v=WmhdQdx8Gjo http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6
Views: 3076 sentdex
Opinion Mining - Restaurant Reviews
 
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-- Created using PowToon -- Free sign up at http://www.powtoon.com/youtube/ -- Create animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.
Views: 1017 Suraj Bennur
Warren Buffett EXTREMELY bearish on Bitcoin
 
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The markets took a break finally today as stocks were in the red. The Dow 30 was lower by 14, the S&P 500 lost 3, and the Nasdaq 100 was off by 10. Bank stocks tried to support today but lost steam late in the session. Form here investors will focus on earnings season which will likely cause increased volatility going forward. United Airlines (NYSE: UAL) and American Airlines (NYSE: AAL) added 6.70% and 3.26% respectively today as they are upbeat about their future outlook. In the face of rising oil prices both companies said they are seeing stronger pricing power and better revenue trends. American said that revenue per seat / per mile will be up 5-6% compared to this time last year. That beats expectations by 2 percentage points. Discovery Communications (NASDAQ: DISCA) was the best performer in the S&P 500 today adding 5.45% as the company announced their strategic plan to move their headquarters to New York City. The company's CEO said that this was an effort to be closer to their advertisers which are mostly located in the city. Khols (NYSE: KSS) was once again one of the better performers in the S&P 500 today as the company announced that it will be considering partnering with a grocer or convenience store to help fill vacant store space. The department store has reduced the size of about 300 of their stores lately but has left the white space around the new smaller space. They are hoping that adding a grocer can help fill the space but also drive traffic back to their stores. The stock was higher by 3.23% on the day, hitting new highs again. In other news Warren Buffett was in the news talking about bitcoin. He said that this "will almost certainly end in disaster" and said if he could he would be buying as many 5 year puts on the crypto currency as possible. Bitcoin futures were lower on the day by 2.31%. We're an investing service that also helps you keep your dough straight. We'll manage your retirement investments and, using NestEgg we can help you with every penny! ---Ready to subscribe--- https://www.youtube.com/jazzwealth?sub_confirmation=1 For more information visit: www.JazzWealth.com --- Instagram @jazzWealth --- Facebook https://www.facebook.com/JazzWealth/ --- Twitter @jazzWealth Investment related questions 📧 [email protected] Business Affairs 📧[email protected]
Views: 1281 Jazz Wealth Managers
Twitter Sentiment Analysis - Regular Expressions for Preprocessing
 
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http://ytwizard.com/r/ZWp1YB http://ytwizard.com/r/ZWp1YB From 0 to 1: Machine Learning, NLP & Python-Cut to the Chase A down-to-earth, shy but confident take on machine learning techniques that you can put to work today
Views: 10 On9Solution
Sentiment Analysis with Python and TextBlob
 
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In this video, I'm discussing the use of Python and TextBlob to get a rudimentary assessment of user sentiment on a particular subject. As luck would have it, others have already beat me to it. I'll link to someone's work on this exact subject matter: https://www.geeksforgeeks.org/twitter-sentiment-analysis-using-python/ My code can be found on LinkedIn: https://www.linkedin.com/pulse/twitter-sentiment-analysis-python-brian-warner/ If you're interested in machine learning and taking some courses online, I recommend: Data Camp: https://www.datacamp.com Data Quest: https://www.dataquest.io Coursera: https://www.coursera.org Udacity: https://www.udacity.com You can also check out "Udemy.com" but I can't vouch for the courses there (haven't taken any yet.) If interested, you can search for more on this topic by looking up: "Deep Learning" "Machine Learning" "AI"
Views: 793 Brian Warner
Python Web Scraping & Sentiment Analysis Tutorial For Beginners | Top 100  Subreddits
 
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Learn how to scrape the web and analyze sentiment using python and bs4 with TextBlob, also learn how to use the PRAW python reddit API. ► 1:1 Mentorship: https://goo.gl/P3PgC2 Code: https://github.com/jg-fisher/redditSentiment If you enjoyed this video, I would really appreciate it if you subscribed below, thanks! Also, be sure to leave any questions or feedback in the comments section.
Views: 7903 John G. Fisher
Sentiment Analysis
 
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This is an extract of our Advanced Technical Analysis Course. This originally designed Forex.Academy course is our response to the important role that technical analysis plays in today’s understanding of financial markets. It is in fact so relevant that Forex.Academy dedicates 2 entire sections to please enthusiastic technicists, i.e., Charting and Crypto & ICO Charting. However, mastering technical analysis is anything but easy. After recognising the scattered nature of all sources of technical classifications, in this course we break down many of the pros and cons associated with each type of technical approach leaving you with the ability to make your own decisions when it comes to technical trading. Becoming an expert “chartist” is the first step of the Forex.Academy´s exclusive Educational Trilogy, also consisting of the Live Beginner’s Course, and the Become a Pro Course PLUS service. Subscribe to our channel to receive our educational videos and if you like your likes they are very appreciated and will help us grow. All our services (live-trading sessions, educational signals, training courses, market update, social media & libraries on different formats) on our website: https://forex.academy You can also follow us on: Twitter: @ForexAcademyPro Facebook Group: https://www.facebook.com/groups/forex.crypto.academy/
Views: 55 Forex Academy
Distantly Supervised Lifelong Learning for Large-Scale Social Media Sentiment Analysis
 
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Views: 54 Clickmyproject
Python and Pandas for Sentiment Analysis and Investing 3 - Looking at our Data
 
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Full Python + Pandas + Sentiment analysis Playlist: http://www.youtube.com/watch?v=0ySdEYUONz0&list=PLQVvvaa0QuDdktuSQRsofoGxC2PTSdsi7&feature=share This series uses python with Pandas for data analysis. Our data set will be a database dump from Sentdex.com sentiment analysis, containing about 600 stocks, mostly S&P 500 stocks. Pandas is used to work with our data quickly and efficiently. The ideas of Pandas is to act as a sort of framework for quickly analyzing data and modeling it. Sentiment Analysis data: http://sentdex.com/downloads/stocks_sentdex.csv.gz Python Module downloads: (Get all of the listed dependencies, or at least the major ones like NumPy, Dateutils, Matplotlib, ) http://www.lfd.uci.edu/~gohlke/pythonlibs/#pandas https://www.python.org/downloads/ http://matplotlib.org/downloads.html http://www.numpy.org/ Matplotlib Styles video: https://www.youtube.com/watch?v=WmhdQdx8Gjo http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6
Views: 6171 sentdex
Python and Pandas for Sentiment Analysis and Investing 4 - Data manipulation
 
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Full Python + Pandas + Sentiment analysis Playlist: http://www.youtube.com/watch?v=0ySdEYUONz0&list=PLQVvvaa0QuDdktuSQRsofoGxC2PTSdsi7&feature=share In this video, we learn how to access specific data from our dataset. This series uses python with Pandas for data analysis. Our data set will be a database dump from Sentdex.com sentiment analysis, containing about 600 stocks, mostly S&P 500 stocks. Pandas is used to work with our data quickly and efficiently. The ideas of Pandas is to act as a sort of framework for quickly analyzing data and modeling it. Sentiment Analysis data: http://sentdex.com/downloads/stocks_sentdex.csv.gz Python Module downloads: (Get all of the listed dependencies, or at least the major ones like NumPy, Dateutils, Matplotlib, ) http://www.lfd.uci.edu/~gohlke/pythonlibs/#pandas https://www.python.org/downloads/ http://matplotlib.org/downloads.html http://www.numpy.org/ Matplotlib Styles video: https://www.youtube.com/watch?v=WmhdQdx8Gjo http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6
Views: 4942 sentdex
Python and Pandas for Sentiment Analysis and Investing 10 - testing
 
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Full Python + Pandas + Sentiment analysis Playlist: http://www.youtube.com/watch?v=0ySdEYUONz0&list=PLQVvvaa0QuDdktuSQRsofoGxC2PTSdsi7&feature=share This series uses python with Pandas for data analysis. Our data set will be a database dump from Sentdex.com sentiment analysis, containing about 600 stocks, mostly S&P 500 stocks. Pandas is used to work with our data quickly and efficiently. The ideas of Pandas is to act as a sort of framework for quickly analyzing data and modeling it. Sentiment Analysis data: http://sentdex.com/downloads/stocks_sentdex.csv.gz Python Module downloads: (Get all of the listed dependencies, or at least the major ones like NumPy, Dateutils, Matplotlib, ) http://www.lfd.uci.edu/~gohlke/pythonlibs/#pandas https://www.python.org/downloads/ http://matplotlib.org/downloads.html http://www.numpy.org/ http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6
Views: 2047 sentdex
IBM Watson: Using the NLC Toolkit in Bluemix (the Tweet Classifier)!
 
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I hope you really enjoyed this tutorial! If you enjoyed, please leave a like, comment, share the video and subscribe! Links: https://www.ablebits.com/office-addins-blog/2013/12/03/remove-carriage-returns-excel/ http://stackoverflow.com/a/17048486/1524047 Email: [email protected] Twitter: @TajyMany Bitcoin Address for Tips: 1HFvjkL571LbctmYodBFkg1HRGGQrVDNC5
Views: 2368 tanmay bakshi
News Sentiment Analysis and Stock Selection Strategies
 
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Slides available ► https://goo.gl/rs3ZTT Full Event ► https://goo.gl/LvnmwY Gordon Ritter - Senior Portfolio Manager - GSA Capital Lakonishok and Lee (2001) examine whether company insiders earn abnormal returns from their purchasing activity. Similarly Ikenberry, Lakonishok, and Vermielen (1995) investigate whether companies that announce open market share repurchase programs earn abnormal returns in subsequent years. It makes sense to view both kinds of activity in a unified way, as both are indicative of positive sentiment by agents (such as corporate directors) who have a clear informational advantage over other market participants. In the present work we re-examine this classic anomaly in a modern context, by utilizing a real-time news feed from Ravenpack to identify insider transactions and open-market share repurchase programs. We discuss how to recast “insider sentiment news” as a factor in a multifactor model in the style of Ross’ APT, and go on to study the associated Markowitz portfolios. Using this data set as an example, we discuss the generally-interesting problem of computing Markowitz portfolios for many thousands of assets in a numerically stable and computationally efficient manner. Recent work of the author proves that the computational complexity of Markowitz optimization in the context of an APT model scales linearly with the number of assets, and gives an explicit formula for performing such linear-time computations. The explicit formula admits easy implementation in any modern programming language, and can optimize portfolios of many thousands of assets in a few milliseconds on a laptop computer. Session recorded June 16, 2016 at the RavenPack 4th Annual Research Conference, titled "Reshaping Finance with Alternative Data". Watch all sessions: ► https://goo.gl/3ij1Ev Visit us at ►https://www.ravenpack.com/ Follow RavenPack on Twitter ► https://twitter.com/RavenPack
Views: 912 RavenPack
Python and Pandas for Sentiment Analysis and Investing 12
 
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Full Python + Pandas + Sentiment analysis Playlist: http://www.youtube.com/watch?v=0ySdEYUONz0&list=PLQVvvaa0QuDdktuSQRsofoGxC2PTSdsi7&feature=share This series uses python with Pandas for data analysis. Our data set will be a database dump from Sentdex.com sentiment analysis, containing about 600 stocks, mostly S&P 500 stocks. Pandas is used to work with our data quickly and efficiently. The ideas of Pandas is to act as a sort of framework for quickly analyzing data and modeling it. Sentiment Analysis data: http://sentdex.com/downloads/stocks_sentdex.csv.gz Python Module downloads: (Get all of the listed dependencies, or at least the major ones like NumPy, Dateutils, Matplotlib, ) http://www.lfd.uci.edu/~gohlke/pythonlibs/#pandas https://www.python.org/downloads/ http://matplotlib.org/downloads.html http://www.numpy.org/ http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6
Views: 2570 sentdex
A Machine Learning-Based Trading Strategy Using Sentiment Analysis Data
 
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Slides available ► https://goo.gl/1Xc3fJ Full Event ► https://goo.gl/ucxU1S Watch all sessions: ► https://goo.gl/LrMFPA Tucker Balch - Co-Founder & CTO - Lucena Research. In this talk, Tucker shows how sentiment information in combination with a Machine Learning technique can provide a successful stock trading strategy. Specifically, he creates a predictive Machine Learning-based model for company stock prices based on the recent sentiment data; he uses that model as an input to build portfolios that are re-balanced weekly and simulate the performance of those portfolios. His results indicate that the sentiment information has predictive value and is useful as part of a Machine Learning strategy that significantly outperforms the market from which the candidate equities are drawn. Presentation held at 3rd Annual RavenPack Research Symposium entitled "Big Data Analytics for Alpha, Smart Beta & Risk Management". Visit us at ►https://www.ravenpack.com/ Follow RavenPack on Twitter ► https://twitter.com/RavenPack
Views: 10038 RavenPack
Python Projects 1: Newspaper Sentiment analysis
 
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Hey there guys and gals! It's Mr.ThunderGod here with some Thunder Code! Presenting the Newspaper Sentiment analysis-inator! This little script downloads and analyzes newspaper articles to find if they are positive, negative or neutral! Github Link: https://github.com/mrthundergod/Newspaper-Sentiment-Analysis If you have doubts, comment below!!
Views: 203 MrThunderGod
Topic Modeling & Sentiment Analysis on News Articles and Comments
 
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Topic Modeling and Constructiveness/Toxicity/Sentiment Analysis in New Articles and Comments by using the SFU Opinion and Comments Corpus (SOCC) dataset, which contains articles and comments for 5 years from 2012 to 2016. The motivation for our project is to create a succinct summary of different views or opinions among Canadian citizens on articles, issues, or policies to help the Canadian government or organizations to make better decisions.
Views: 110 Ruoting Liang
Python and Pandas for Sentiment Analysis and Investing 11
 
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Full Python + Pandas + Sentiment analysis Playlist: http://www.youtube.com/watch?v=0ySdEYUONz0&list=PLQVvvaa0QuDdktuSQRsofoGxC2PTSdsi7&feature=share Stocklist for this video: http://sentdex.com/sentiment-analysis-tutorial-documents/ This series uses python with Pandas for data analysis. Our data set will be a database dump from Sentdex.com sentiment analysis, containing about 600 stocks, mostly S&P 500 stocks. Pandas is used to work with our data quickly and efficiently. The ideas of Pandas is to act as a sort of framework for quickly analyzing data and modeling it. Sentiment Analysis data: http://sentdex.com/downloads/stocks_sentdex.csv.gz Python Module downloads: (Get all of the listed dependencies, or at least the major ones like NumPy, Dateutils, Matplotlib, ) http://www.lfd.uci.edu/~gohlke/pythonlibs/#pandas https://www.python.org/downloads/ http://matplotlib.org/downloads.html http://www.numpy.org/ http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6
Views: 1895 sentdex
It's Official! Did the NSA Create Bitcoin? That's Classified!
 
12:04
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Views: 7741 TruthNeverTold
Twitter Mining for Political Sentiment using RapidMiner
 
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A look at how to use RapidMiner Twitter and Sentiment operators to gauge the sentiment of 2016 Presidential hopefuls in novel ways and display geo-located data on Google Maps.
Views: 7066 RapidMiner, Inc.
Random Forest Classifier for News Articles Sentiment Analysis
 
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Introduction DATA MINING It is the process to discover the knowledge or hidden pattern form large databases. The overall goal of data mining is to extract and obtain information from databases and transfer it into an understandable format for use in future. It is used by Business intelligence organizations, Financial analysts, Marketing organizations, and companies with a strong consumer focus like retail ,financial and communication . It can also be seen as one of the core process of knowledge discovery in data base (KDD). It can be viewed as process of Knowledge Discovery in database. Data Extraction/gathering:- To collect the data from sources . Eg: data warehousing. Data cleansing :- To eliminate bogus data and errors. Feature extraction:- To extract only task relevant data : i.e to obtain the interesting attributes of data . Pattern extraction and discovery :- This step is seen as process of data mining , where one should concentrate the effort. Visualization of the data and Evaluation of results :- To create knowledge base. CLASSIFICATION Classification is a technique of data mining to classify each item into predefined set of groups or classes. The goal of classification is to accurately predict the target class for each item in the data. For example, a classification model could be used to identify loan applicants as low, medium, or high credit risks. The simplest type of classification problem is binary classification. In binary classification, the target attribute has only two possible values: for example, high credit rating or low credit rating. Multiclass targets have more than two values: for example, low, medium, high, or unknown credit rating. SENTIMENT ANALYSIS Sentiment analysis is a sub-domain of opinion mining where the analysis is focused on the extraction of emotions and opinions of the people towards a particular topic. Sentiment analysis aims to determine the attitude of a speaker or a writer with respect to some topic. The attitude may be his or her judgment or evaluation, affective state (that is to say, the emotional state of the author when writing), or the intended emotional communication (that is to say, the emotional effect the author wishes to have on the reader). With opinion mining, we can distinguish poor content from high quality content. Random Forest Technique In this technique, a set of decision trees are grown and each tree votes for the most popular class, then the votes of different trees are integrated and a class is predicted for each sample. This approach is designed to increase the accuracy of the decision tree, more trees are produced to vote for class prediction. This approach is an ensemble classifier composed of some decision trees and the final result is the mean of individual trees results. Follow Us: Facebook : https://www.facebook.com/E2MatrixTrainingAndResearchInstitute/ Twitter: https://twitter.com/e2matrix_lab/ LinkedIn: https://www.linkedin.com/in/e2matrix-thesis-jalandhar/ Instagram: https://www.instagram.com/e2matrixresearch/
Twitter Sentiment Analysis in Excel
 
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Sentiment Analysis and Text Analytics Add-In for Excel http://text2data.org/ Simple and powerful tool for Analysts and BI developers. Incorporate advanced NLP, Machine Learning services into your daily work tool, no programming required!
Views: 6852 Sentiment Analysis
Scikit Learn Machine Learning SVM Tutorial with Python p. 2 -  Example
 
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In this machine learning tutorial, we cover a very basic, yet powerful example of machine learning for image recognition. The point of this video is to get you familiar with machine learning in Python with sklearn, but also to show you that the actual machine learning part is the easy part. Playlist link: https://www.youtube.com/watch?v=URTZ2jKCgBc&list=PLQVvvaa0QuDd0flgGphKCej-9jp-QdzZ3&index=2 The real hard part is everything else. Getting data, organizing data, labeling data, scaling data.... and more. sample code: http://pythonprogramming.net http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6
Views: 209370 sentdex
Python and Pandas for Sentiment Analysis and Investing 9 - Mapping Function to Dataframe
 
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Full Python + Pandas + Sentiment analysis Playlist: http://www.youtube.com/watch?v=0ySdEYUONz0&list=PLQVvvaa0QuDdktuSQRsofoGxC2PTSdsi7&feature=share This series uses python with Pandas for data analysis. Our data set will be a database dump from Sentdex.com sentiment analysis, containing about 600 stocks, mostly S&P 500 stocks. Pandas is used to work with our data quickly and efficiently. The ideas of Pandas is to act as a sort of framework for quickly analyzing data and modeling it. Sentiment Analysis data: http://sentdex.com/downloads/stocks_sentdex.csv.gz Python Module downloads: (Get all of the listed dependencies, or at least the major ones like NumPy, Dateutils, Matplotlib, ) http://www.lfd.uci.edu/~gohlke/pythonlibs/#pandas https://www.python.org/downloads/ http://matplotlib.org/downloads.html http://www.numpy.org/ Matplotlib Styles video: https://www.youtube.com/watch?v=WmhdQdx8Gjo http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6
Views: 2093 sentdex
Naive Bayes Algorithm For Sentiment Analysis | Implementation in C#
 
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This is Naive Bayes Algorithm implemented by me in C#. If anyone need the code please leave comment and I will share you the code. Please like this video and subscribe to this channel. In next video I am going to show you how I implemented this algorithm
Views: 243 Software Dev
Python and Pandas for Sentiment Analysis and Investing 5 - Removing Outlier Data Plots
 
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Full Python + Pandas + Sentiment analysis Playlist: http://www.youtube.com/watch?v=0ySdEYUONz0&list=PLQVvvaa0QuDdktuSQRsofoGxC2PTSdsi7&feature=share In this video, we cover how to remove outliers with pandas and standard deviation. This series uses python with Pandas for data analysis. Our data set will be a database dump from Sentdex.com sentiment analysis, containing about 600 stocks, mostly S&P 500 stocks. Pandas is used to work with our data quickly and efficiently. The ideas of Pandas is to act as a sort of framework for quickly analyzing data and modeling it. Sentiment Analysis data: http://sentdex.com/downloads/stocks_sentdex.csv.gz Python Module downloads: (Get all of the listed dependencies, or at least the major ones like NumPy, Dateutils, Matplotlib, ) http://www.lfd.uci.edu/~gohlke/pythonlibs/#pandas https://www.python.org/downloads/ http://matplotlib.org/downloads.html http://www.numpy.org/ Matplotlib Styles video: https://www.youtube.com/watch?v=WmhdQdx8Gjo http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6
Views: 5787 sentdex
Python and Pandas for Sentiment Analysis and Investing 1 - Download and Installing
 
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Full Python + Pandas + Sentiment analysis Playlist: http://www.youtube.com/watch?v=0ySdEYUONz0&list=PLQVvvaa0QuDdktuSQRsofoGxC2PTSdsi7&feature=share Welcome to the introduction video for my Python and Pandas for sentiment analysis and investing series. This series will be using python with Pandas for data analysis. Our data set will be a database dump from Sentdex.com sentiment analysis, containing about 600 stocks, mostly S&P 500 stocks. Pandas will be used to work with our data quickly and efficiently. The ideas of Pandas is to act as a sort of framework for quickly analyzing data and modeling it. Sentiment Analysis data: http://sentdex.com/downloads/stocks_sentdex.csv.gz Python Module downloads: (Get all of the listed dependencies, or at least the major ones like NumPy, Dateutils, Matplotlib, ) http://www.lfd.uci.edu/~gohlke/pythonlibs/#pandas https://www.python.org/downloads/ http://matplotlib.org/downloads.html http://www.numpy.org/ http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6
Views: 20976 sentdex
Sentiment Analysis 1: Introduction
 
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A Machine Learning and Natural Language Processing application: Build a model to predict whether a movie review is positive or negative. Introduction: What are we building? Input: a movie review text Output: prediction of the review being positive or negative Goal: Build your own machine learning model with high accuracy. Topics: Natural Language Processing and Machine learning Tools: Python and Scikit-learn library OS: Mac/Linux, Windows Download the movie review data set: Large Movie Review Dataset v1.0 Collected by Andrew Maas from Stanford. http://ai.stanford.edu/~amaas/data/sentiment/index.html My LinkedIn: https://www.linkedin.com/in/weihua-zheng-compbio/
Views: 513 William.Zheng
How to predict Bitcoin price ( Time Series ) using LSTM Recurrent Neural Network | Sudharsan
 
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In this tutorial, Let us understand how to predict bitcoins price ( Time series analysis ) using long short term memory recurrent neural network. Code for this video: https://github.com/sudharsan13296/Bitcoin-price-Prediction-using-LSTM Follow me on twitter: https://twitter.com/sudharsan1396
CMU 15388 Final - Stock Market Prediction Using Sentiment Analysis
 
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15388 Final Project presentation
Views: 195 sam1323123
Scikit Learn Machine Learning Tutorial for investing with Python p. 6
 
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In this machine learning with Python and scikit-learn tutorial video, we cover how to use the Pandas module to help structure and modify our data. No Pandas? No problem: Windows users: http://www.lfd.uci.edu/~gohlke/pythonlibs/#pandas or Others: http://pandas.pydata.org/ sample code: http://pythonprogramming.net http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6
Views: 23014 sentdex
Unsupervised Machine Learning - Flat Clustering with KMeans with Scikit-learn and Python
 
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This unsupervised machine learning tutorial covers flat clustering, which is where we give the machine an unlabeled data set, and tell it how many categories we want the data categorized into. sample code: http://pythonprogramming.net http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6
Views: 46023 sentdex
USA GOV SAID HODL BITCOIN!
 
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There you have it! The USA Government had a meeting today talking about Crypto Currency that was very optimistic and sounded very fair. A lot of people worried about the Government cracking down on Bitcoin but it sounds like the total opposite. Good to see some smart politicians and government officials. Check out CoinBase the APP I'm using to buy Bitcoin/Etherum/Litecoin Sign up and earn $10 Free with this link https://www.coinbase.com/join/59f68845df1dbc00cdaf4a94 Social Media- https://www.instagram.com/patrickwieland/ https://twitter.com/patWielandLIVE https://stocktwits.com/PatrickWieland
Views: 2159 Patrick Wieland
Scikit Learn Machine Learning Tutorial with Python p. 7
 
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In this scikit-learn machine learning tutorial with Python, we cover how to grab S&P 500 index data so that we can use the performance of the market as a benchmark to compare the stock price performance to. This way, we can label stocks as having been a good buy or not, based on whether or not they outperformed the market. We're going to use quandl.com to get S&P 500 data. sample code: http://pythonprogramming.net http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6
Views: 22587 sentdex
Scikit Learn Machine Learning Tutorial for investing with Python p. 15
 
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In this machine learning tutorial video, we cover how to randomize/shuffle our data for better results. sample code: http://pythonprogramming.net http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6
Views: 8778 sentdex
EyeSocial - A cloud based sentiment analysis service for social media
 
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The cloud based web service for analyzing public opinions in social network deployed with the principles of SaaS. The service works with Twitter.
Views: 262 Orif N. Jr.
RIPPLE INDIA- RBI will reverse their CRYPTO CURRENCY BAN DECISON/ NOW MINE ON SMART PHONE
 
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https://www.ccn.com/half-of-top-10-cryptocurrencies-may-be-securities-crypto-hedge-fund-executive/ https://www.youtube.com/watch?v=EnUGcwBUO5I https://www.ccn.com/sec-statement-on-ether-clears-stumbling-block-for-ethereum-futures-cboe-president/ https://www.ccn.com/ripple-expects-india-to-overturn-cryptocurrency-ban-with-regulations/ https://www.ccn.com/bitcoin-transactions-help-police-track-down-dark-web-drug-dealer/ Join the telegram GROUP - https://t.me/joinchat/F_s_hRKHMl2TwvPVOJ5GZA JOIN THE TELEGRAM ANNOUNCEMENTS https://t.me/cryptoconversationshiv Instagram https://www.instagram.com/crypto_conversation/?hl=en Twitter -https://twitter.com/shivcryptoindia Steemit - https://steemit.com/@shiv123 FACEBOOK GROUP -Crypto Conversation Shiv DISCLAIMER- These videos are for Information , Education and Entertainment Purpose and my personal Opinion . None of them should be considered as Investment Advice or Suggestion. Participating in token sales is risky, please do your research before contributing. Thank you for watching. Don’t forget to subscribe. Buy Ledger wallet on a safe link https://www.ledgerwallet.com/r/167c Join Binance through the Link and Support the Channel https://www.binance.com/?ref=10270593 Download Crypto Control to manage your Crypto Portfolio If you wish to support the channel , you can do so here. OMG 0x0f9d78339C583e02b44f248A0E532B87B0A5b70D Bitcoin 15jRXvUnqgLsewuBwejsVPXAS64jVfiEbs Bitcoin Cash 16ApmN4HL6VNzVxi3w5gqoqCpMHu6rDquu Dash XwX96iqeoHVhZBbdhWqTixqKEkEHFTPhh1 ETH 0x0f9d78339C583e02b44f248A0E532B87B0A5b70D

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