https://github.com/mjhea0/twitter-sentiment-analysis

Video tutorial and accompanying output for conducting text sentiment analysis in Twitter
https://github.com/mjhea0/twitter-sentiment-analysis

Last synced: 16 days ago
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Video tutorial and accompanying output for conducting text sentiment analysis in Twitter

• Host: GitHub
• URL: https://github.com/mjhea0/twitter-sentiment-analysis
• Owner: mjhea0
• Created: 2012-12-18T06:56:30.000Z (almost 12 years ago)
• Default Branch: master
• Last Pushed: 2016-01-11T12:52:55.000Z (almost 9 years ago)
• Last Synced: 2024-10-12T07:08:10.068Z (about 1 month ago)
• Language: R
• Size: 1.36 MB
• Stars: 56
• Watchers: 15
• Forks: 126
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

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README

        
Twitter Text Sentiment Analysis

===============================

### Needs to be updated for Twitter API v 1.1

Accompanying data files for this Youtube video - [http://www.youtube.com/watch?v=adIvt_luO1o ](http://www.youtube.com/watch?v=adIvt_luO1o )

This video details how to conduct text sentiment analysis in R using Jeffrey Bean's [algorithm](http://jeffreybreen.wordpress.com/2011/07/04/twitter-text-mining-r-slides/). 

Essentially, I show how to pull tweets from the Twitter web API, comparing each word to positive and negative word bank, and then using a basic algorithm to determine the overall sentiment. I also show how to analyze the data. 

This repository includes the algorithm, word banks, output, and R data.

https://gist.github.com/mjhea0/5497065