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r-text2vec

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Fast and memory-friendly tools for text vectorization, topic modeling (LDA, LSA), word embeddings (GloVe), similarities. This package provides a source-agnostic streaming API, which allows researchers to perform analysis of collections of documents which are larger than available RAM. All core functions are parallelized to benefit from multicore machines.

Installation

To install this package, run one of the following:

Conda
$conda install f30a78ec8::r-text2vec

Usage Tracking

0.5.1
1 / 8 versions selected
Downloads (Last 6 months): 0

About

Summary

Fast and memory-friendly tools for text vectorization, topic modeling (LDA, LSA), word embeddings (GloVe), similarities. This package provides a source-agnostic streaming API, which allows researchers to perform analysis of collections of documents which are larger than available RAM. All core functions are parallelized to benefit from multicore machines.

Last Updated

Dec 29, 2019 at 15:33

License

GPL-2

Total Downloads

14

Supported Platforms

linux-64