GU-DataLab/stance-detection-KE-MLM
Official resource of the paper "Knowledge Enhanced Masked Language Model for Stance Detection", NAACL 2021
This project helps political analysts, researchers, or social scientists automatically determine public sentiment towards political candidates or topics. You provide social media posts (like tweets) and it outputs whether the post is "FOR", "AGAINST", or "NEUTRAL" regarding a specific target like a candidate. This is useful for understanding public opinion trends from large volumes of text.
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Use this if you need to analyze the stance expressed in English social media text, particularly tweets related to political figures or events.
Not ideal if you need to analyze sentiment in other languages, on different social media platforms, or for non-political topics.
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Language
Python
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GPL-3.0
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Last pushed
Oct 26, 2021
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