Twitter_Sentiment_Analysis

Live graphing of twitter sentiment analysis. Based on this tutorial by sentdex

Use

Create a folder named "pickled_algs" in the project directory
Run TextClassification.py to generate classifiers (saved as pickle files)
Update twitter_stream.py to include your own keys and tokens (can be generated here)
Update twitter_stream.py to analyse sentiment of specified topic
Run twitter_stream.py
Run live_graphing.py

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
__pycache__		__pycache__
short_reviews		short_reviews
.gitignore		.gitignore
README.md		README.md
TextClassification.py		TextClassification.py
classify.py		classify.py
live_graphing.py		live_graphing.py
sentiment_mod.py		sentiment_mod.py
twitter_out.txt		twitter_out.txt
twitter_stream.py		twitter_stream.py