checkstep/mole-stance
MoLE: Cross-Domain Label-Adaptive Stance Detection
This project helps you classify the viewpoint or 'stance' of a writer towards a specific topic or claim, even when dealing with entirely new topics or different ways of expressing opinions. It takes text data, like tweets or articles, and assigns a label indicating the writer's stance. This is ideal for researchers studying public opinion, social media analysis, or political discourse across various datasets.
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Use this if you need to analyze the stance within text data from diverse sources and on new, previously unseen topics without extensive re-training.
Not ideal if your primary need is basic sentiment analysis or if you only work with a single, well-defined dataset and fixed labels.
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Python
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Last pushed
Mar 03, 2022
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