Metadata-Version: 2.1
Name: POSPairWordEmbeddings
Version: 0.0.4
Summary: POSPair Word Embeddings- Python framework for fast Vector Space Modelling
Home-page: https://github.com/jmacwan/POSPair
Author: Jim Macwan
Author-email: jimmacwan94@gmail.com
License: LGPLv2.1
Download-URL: https://github.com/jmacwan/POSPair
Keywords: Singular Value Decomposition,SVD,Latent Semantic Indexing,LSA,LSI,Latent Dirichlet Allocation,LDA,Hierarchical Dirichlet Process,HDP,Random Projections,TFIDF,word2vec
Platform: any
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU Lesser General Public License v2 or later (LGPLv2+)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Text Processing :: Linguistic
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POSPair Word Embeddings
==============================================

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.



