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POSPair Word Embeddings- Python framework for fast Vector Space Modelling

Project description

Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.

POSPair Word Embedding is created by modifying Gensim library according to POSPair, generating more meaningful and efficient word embeddings.

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Files for POSPairWordEmbeddings, version 0.0.4
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