INESCTEC/Tweet2Story
Repository for the Tweet2Story framework for the extraction of narratives from tweets.
This project helps communicators, social media analysts, and researchers understand key events and storylines emerging from large volumes of social media posts. It takes a collection of tweets or other short texts and automatically identifies the main actors, events, and their relationships, outputting these as structured annotations. This allows users to quickly grasp the core narrative of a trending topic or crisis without manually reading through countless messages.
No commits in the last 6 months.
Use this if you need to quickly extract the core narrative, including who did what, when, and how, from a large collection of social media posts or short texts.
Not ideal if you need a visual knowledge graph integrated directly into the tool or if you are working with very short texts that lack sufficient punctuation.
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Python
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Last pushed
Feb 13, 2022
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