Reader comment analysis using the New York Times (c) community API
- Requires python 2.7, numpy, matplotlib, scikit-learn and xmltodict
- Rename config.example to config.py and edit in your API keys
- Load from apiQuery import TimesComments, then TimesComments('20140105',False) to query the NYT API for comments from January 5th, 2014 (or choose another date)
- Edit parameters in classifyData.py, then execute to begin training learning model
- With learning model trained, from commentAnalysis import CommentAnalysis, then CommentAnalysis('20140105') to find poems and calculate word frequencies
Use apiQuery.py to load new comments from the NYT API
Use classifyData.py to train the learning algorithm
Use commentAnalysis.py to perform analysis on comments
This project is in development, and subject to change significantly without notice!