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Event Detection in Twitter

📅 Published: August 3, 2021 👤 Jianshu Weng, Bu‐Sung Lee 📖 Proceedings of the International AAAI Conference on Web and Social Media 📊 718 citations
AI-Generated Summary

Twitter, as a form of social media, is fast emerging in recent years. The remaining words are then clustered to form events with a modularity-based graph partitioning technique.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 Users are using Twitter to report real-life events.
  • 2 This paper focuses on detecting those events by analyzing the text stream in Twitter.
  • 3 Although event detection has long been a research topic, the characteristics of Twitter make it a non-trivial task.
Why It Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

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Article Details
Source OpenAlex
Category 🤖 Artificial Intelligence
Published Aug 3, 2021
Journal Proceedings of the International AAAI Conference on Web and Social Media
DOI 10.1609/icwsm.v5i1.14102
Citations 718
Authors Jianshu Weng, Bu‐Sung Lee