POSPair Word Embeddings- Python framework for fast Vector Space Modelling
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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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| Filename, size & hash SHA256 hash help | File type | Python version | Upload date |
|---|---|---|---|
| POSPairWordEmbeddings-0.0.4-cp36-cp36m-win_amd64.whl (707.6 kB) Copy SHA256 hash SHA256 | Wheel | cp36 | |
| POSPairWordEmbeddings-0.0.4.tar.gz (580.2 kB) Copy SHA256 hash SHA256 | Source | None |
