nlp-unibo/multimodal-am
Official repository of the paper: "Multimodal Argument Mining: A Case Study in Political Debates"
This project helps political scientists, debate analysts, and communication researchers analyze political debates by automatically identifying arguments. It takes debate transcripts and audio, then processes them to output structured insights about the arguments presented, including their key components and how they are supported. This allows researchers to study argument strength and communication strategies more effectively.
No commits in the last 6 months.
Use this if you need to automatically extract and analyze arguments from multimodal political debate data (text and audio).
Not ideal if your primary goal is to analyze arguments in non-political contexts or from only a single modality.
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Language
Python
License
MIT
Category
Last pushed
Nov 27, 2023
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