A lightweight data visualization project that showcases real-time trends based on Twitter (now X) content.
Originally developed as part of academic research at Osaka University (2023).
This project visualizes trending keywords extracted from tweets using keyword-based analysis.
It demonstrates how social media users can be treated as real-time sensors reflecting real-world events.
- Displays keyword clusters extracted from Twitter data
- Visualizes user interests and social trends
- Designed for free hosting on GitHub Pages (no backend)
Check out the live demo here: [https://jw0203.github.io/vis_obs/]
This visualization is based on research conducted during my Ph.D. coursework in
Information and Communication Engineering at Osaka University.
The data analysis and keyword extraction were done separately using Python and Twitter API,
and the results were exported and visualized using HTML/CSS/JavaScript.
- HTML / CSS / JavaScript
- GitHub Pages (for hosting)
This repository only contains static files for data visualization.