dselivanov/text2vec: Modern Text Mining Framework for R
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.
Getting started
Browse package contents
Package details |
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| Maintainer | Dmitriy Selivanov <selivanov.dmitriy@gmail.com> |
| License | GPL (>= 2) | file LICENSE |
| Version | 0.6.4 |
| URL | http://text2vec.org |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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