|Number of watchers on Github||44|
|Number of open issues||0|
|Average time to merge a PR||about 2 hours|
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|Closed pull requests||0+|
|Last commit||almost 4 years ago|
|Repo Created||almost 7 years ago|
|Repo Last Updated||almost 2 years ago|
|Organization / Author||mjhea0|
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Accompanying data files for this Youtube video - http://www.youtube.com/watch?v=adIvt_luO1o
This video details how to conduct text sentiment analysis in R using Jeffrey Bean's algorithm.
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.