sebkim/lda2vec-pytorch
lda2vec pytorch implementation
This project helps researchers and data scientists understand the main themes within large collections of text documents. You input a corpus of text (like news articles or scientific papers), and it outputs human-interpretable topics and the relationships between words within those topics. Anyone analyzing text data to discover underlying themes would find this useful.
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Use this if you need to extract both clear, interpretable topics from your text data and also understand the subtle connections between individual words.
Not ideal if you need a production-ready solution with guaranteed stable performance, as this is still experimental research software.
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Oct 18, 2019
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