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Event Detection in Twitter

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

🤖 Plain-English 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.

🔑 Key Findings

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

💡 Why This Matters

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

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📋 Article Details

Category 🤖 Artificial Intelligence
Published Aug 03, 2021
Journal Proceedings of the International AAAI Conference on Web and Social Media
Authors Jianshu Weng, Bu‐Sung Lee
DOI 10.1609/icwsm.v5i1.14102
Citations 718
Source OpenAlex

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