ningchaoar/UnsupervisedTextClassification
基于关键词的无监督文本分类；Implementation for paper "Text Classification by Bootstrapping with Keywords, EM and Shrinkage" http://www.cs.cmu.edu/~knigam/papers/keywordcat-aclws99.pdf
This project helps content managers, researchers, or anyone dealing with large collections of unlabeled text quickly sort them into predefined categories. You provide a list of texts and some initial keywords for each category, and it outputs a classification for each text. This is designed for users who need to understand the distribution of their text data or set up rules for more precise, subsequent labeling.
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Use this if you have a massive amount of unclassified text and want to quickly organize it using a few descriptive keywords per category.
Not ideal if your categories are ambiguous or overlap significantly, as it relies on distinct keywords for effective classification.
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Language
Python
License
MIT
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Last pushed
Jan 28, 2021
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