chrisPiemonte/argonaut
Argument Mining from online debates and hybrid-semantics reasoning
This tool helps researchers and analysts understand complex online discussions by automatically identifying arguments within social media comments. It takes raw social media data as input and outputs structured insights into different viewpoints and their relationships, along with a ranked list of coherent argument sets. It's designed for anyone studying public opinion, debate structures, or stakeholder perspectives in digital spaces.
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Use this if you need to systematically analyze large volumes of online debate data to extract and evaluate underlying arguments and identify the most compelling or prominent stances.
Not ideal if you're looking for a simple sentiment analysis tool or a way to summarize text without needing to delve into the formal structure of arguments.
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Language
Python
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Last pushed
Jun 22, 2022
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