vi3k6i5/GuidedLDA
semi supervised guided topic model with custom guidedLDA
This helps analysts and researchers organize large collections of text documents by automatically identifying key themes. You provide a collection of documents (like news articles or customer feedback) and, optionally, some keywords to guide the topic discovery. It outputs a set of identified topics and shows which documents relate to which topics. Anyone working with unstructured text data to find patterns or insights would find this useful.
517 stars. No commits in the last 6 months.
Use this if you need to extract meaningful topics from a large body of text and want to influence the topic generation process with your domain knowledge.
Not ideal if you are working with extremely large document corpuses (millions of documents) and require the absolute fastest performance, in which case more specialized tools might be better.
Stars
517
Forks
112
Language
Python
License
MPL-2.0
Category
Last pushed
Apr 14, 2025
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