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A Python library for topic modeling, document indexing, and similarity retrieval with large text corpora.
A Python library for topic modeling, document indexing, and similarity retrieval with large corpora.
An efficient R package for text analysis and NLP with fast vectorization, topic modeling, and word embeddings.
Generate Word2Vec vectors for DBpedia entities from Wikipedia dumps, linking words and topics to structured knowledge.
A Go library implementing word embedding models (Word2Vec, GloVe, LexVec) from scratch with CLI and SDK.
A Julia package for loading pretrained word embeddings like Word2Vec, FastText, and GloVe.
A Go package for reading word2vec vectors and performing similarity searches and analogies.
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