https://github.com/jldbc/groupme-analytics
Data Mine your Group Chat
https://github.com/jldbc/groupme-analytics
Last synced: 16 days ago
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Data Mine your Group Chat
- Host: GitHub
- URL: https://github.com/jldbc/groupme-analytics
- Owner: jldbc
- Created: 2016-09-11T22:58:48.000Z (almost 10 years ago)
- Default Branch: master
- Last Pushed: 2017-12-10T03:50:41.000Z (over 8 years ago)
- Last Synced: 2025-11-13T13:35:02.948Z (8 months ago)
- Language: Jupyter Notebook
- Size: 3.91 KB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# groupme-analytics
## Data Mine your Group Chat
Take a look into usage patterns in your GroupMe group chat.
Features Included:
* Messages per person
* Average message length
* Average likes per message
* Usage of profanity
* Number of self-likes
* Word use (most distinguising words by user)
* Time series plots (messages by month and hour, most active time periods since creation of the group chat)
Prerequisites:
* install groupy (pip install groupy)
* Be sure you're using Python3
* find your access token on [dev.groupme.com](https://dev.groupme.com/)
* save it in your home directory as .groupy.key (echo 'your_access_token' > ~/.groupy.key )