Analyzing a relationship's text messages

This project aims to visualize emotional and thematic trends and provide insight about personal relationship dynamics. This code can be used as a exploration tool for navigating the nuance of digital communication and understanding the biases that can emerge from machine learning analysis.

Features

• Pretty comprehensive analysis: Analyzes 80,000 text messages exchanged over the span of a relationship with natural language processing techniques.
• Trained topic model: Uses a Biterm topic model specifically trained on the dataset.
• Sentiment analysis: Runs sentiment analysis on all messages to gauge emotional trends.
• Visualization: Results are visualized using Observable Plot, and the static site is generated with Observable Framework.
• DIY-friendly: See the "Using your own data" section.
• Live demo: Check out the live demo here.

Running locally

Clone this repo and execute:

npm run dev

Using your own data

You can adapt this code by running the Python scripts provided in the utils folder. Check out the README for more information.

Credits

• This project was created during my time at the Recurse Center in Spring 2024.
• Thanks to all the folks who paired with me on this project at RC!
• Special thanks to my ex in their support of this project.