Text Visualization DRG Protoype

This repo contains a Django project for setting up a database and possibly web-based visualization prototypes for the DRG on Online Text Visualization, 2014-2015.

Steps to set up

These steps are probably not complete!

You must have Python 2.7 installed. It is recommended to use virtualenv to set up a virtual Python environment for this project.

1. Check out the repository.
2. Set up a MySQL database.
3. Copy dot_env_example.txt to a file named .env and edit with your database settings.
4. Install python libraries with pip install -r requirements.txt. If you have problems with this step, you might try running pip install numpy and pip install scipy beforehand.
5. Set up the database: ./manage.py migrate

Areas of Interest

There are two different text dataset that this project is prepared to store.

Tweets are stored in tables created by the michaelbrooks/django-twitter-stream django app. The main tweets table is twitter_stream_tweet.

Chat messages are stored in tables created by the textprizm Django app. The models for htis app are in the code at textvis/textprizm/models.py.

There is also code that does not yet work for extracting topic models from tweets and chat messages in textvis/textprizm/topics.py.

There is code that does work for extracting topic models from CSV files in lda.py, but it outputs to flat files, not the database. There are instructions for running this script at the top of the file.