kevalmorabia97/SEDTWik-Event-Detection-from-Tweets
Segmentation based event detection from Tweets. Published at NAACL SRW 2019
This helps social media analysts and researchers identify significant real-world events as they unfold on Twitter. By processing streams of tweets, it extracts meaningful segments, identifies 'bursty' topics gaining rapid attention, clusters related topics, and can then summarize them. The output is a collection of detected events, each with a potential summary derived from relevant tweets, useful for understanding emerging trends and news.
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Use this if you need to automatically discover newsworthy events and emerging topics from a continuous stream of Twitter data across various categories and locations.
Not ideal if you need a pre-packaged, plug-and-play solution with built-in summarization, as that component is left for the user to implement.
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Language
Python
License
MIT
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Last pushed
Aug 20, 2024
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