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text2vec  

Modern Text Mining Framework for R
View on CRAN: Click here


Download and install text2vec package within the R console
Install from CRAN:
install.packages("text2vec")

Install from Github:
library("remotes")
install_github("cran/text2vec")

Install by package version:
library("remotes")
install_version("text2vec", "0.6.6")



Attach the package and use:
library("text2vec")
Maintained by
Dmitriy Selivanov
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-01-10
Latest Update: 2025-09-03
Description:
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.
How to cite:
Dmitriy Selivanov (2016). text2vec: Modern Text Mining Framework for R. R package version 0.6.6, https://cran.r-project.org/web/packages/text2vec. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:12), 0.2.0 (2016-01-10 18:38), 0.3.0 (2016-03-31 21:12), 0.4.0 (2016-10-04 17:48), 0.5.0 (2017-08-08 06:43), 0.5.1 (2018-01-11 22:57), 0.6.1 (2022-04-21 17:50), 0.6.2 (2022-09-11 16:50), 0.6.3 (2022-11-30 10:20), 0.6.4 (2023-11-09 08:10), 0.6 (2020-02-18 15:20)
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Complete documentation for text2vec
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