hodgesmr/biden_nlp
Jupyter Notebook that introduces BIDEN: Binary Inference Dictionaries for Electoral NLP. It demonstrates a compression-based binary classification technique that is fast at both training and inference on common CPU hardware in Python
This project helps political analysts quickly categorize text, such as campaign emails or social media posts, to understand partisan sentiment. You provide text data, and it outputs a classification indicating whether the text leans Republican or Democrat. This is ideal for political scientists, campaign strategists, or researchers studying political discourse.
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Use this if you need to rapidly classify large volumes of text from political sources, like campaign communications or social media, as either Republican or Democrat.
Not ideal if you need to classify text into more nuanced categories than a simple two-party split or if your text data is not related to political or electoral discourse.
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Jupyter Notebook
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BSD-3-Clause
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Last pushed
Oct 17, 2023
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