Author:
- Chris Coykendall ([email protected])
This is a basic tool to analyze user sentiment/popularity for a given topic from Twitter and score the topic popularity using a crude, simple counter method in straightforward Python. The higher the score, the better.
Given a particular symbol, determine overall sentiment/popularity score based upon the following features:
- The # of tweets on Twitter mentioning target
- For every tweet mentioning target, calculate score using...
- Number of followers
- Number of retweets
- Length of tweet
- Count of positive sentiment words
- Count of negative sentiment words
- Etc...
This is by no means a perfect algorithm for scoring social media posts, but is meant to be a playful exercise in data mining.
Unit tests to follow...
- Download the necessary files (possibly need to run as root with "sudo")
git clone https://github.com/chriscoyfish/grq.git
cd grq
pip install -r requirements.txt-
Modify config.cfg with the API keys/credential flags associated with your Twitter API project. See https://apps.twitter.com/ for more details.
-
Run the tool
python main.py yoga covfefe python