An example of using NuPIC to detect anomalies in Google Hangouts conversations.

1. Install dependencies.

   Follow installation instructions for Unicorn.

   Install matplotlib.

2. Install nupic.hangouts.

   python setup.py install --user

3. Get your data.

   Visit Google Takeout, select only the "Hangouts" option, and download. Extract the Hangouts.json file from the downloaded data.

4. Process your data.

   python -m nupic_hangouts.scripts.process PATH/TO/Hangouts.json data

5. Run a conversation through a NuPIC model and plot results.

   Pick a conversation in the data directory (one of the .csv files). The number in the name of the .csv file indicates how many total messages are in the conversation.

   ./model.py PATH/TO/CONVERSATION.csv output

The red triangles are points of high anomaly.