sebischair/Lbl2Vec

Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.

语言：Python · GitHub 星标：185 · Fork：28

话题：document-embeddings · label-embeddings · machine-learning · natural-language-processing · nlp · python · text-classification · unsupervised-classification

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