CRAN/E | text2vec

text2vec

Modern Text Mining Framework for R

Installation

About

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.

text2vec.org
Bug report File report

Key Metrics

Version 0.6.4
R ≥ 3.6.0
Published 2023-11-09 169 days ago
Needs compilation? yes
License GPL-2
License GPL-3
License File
CRAN checks text2vec results

Downloads

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Maintainer

Maintainer

Dmitriy Selivanov

selivanov.dmitriy@gmail.com

Authors

Dmitriy Selivanov

aut / cre / cph

Manuel Bickel

aut / cph

(Coherence measures for topic models)

Qing Wang

aut / cph

(Author of the WaprLDA C++ code)

Material

README
NEWS
Reference manual
Package source

In Views

NaturalLanguageProcessing

Vignettes

GloVe Word Embeddings
Analyzing Texts with the text2vec Package

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

text2vec archive

Depends

R ≥ 3.6.0
methods

Imports

Matrix ≥ 1.5-2
Rcpp ≥ 1.0.3
R6 ≥ 2.3.0
data.table ≥ 1.9.6
rsparse ≥ 0.3.3.4
stringi ≥ 1.1.5
mlapi ≥ 0.1.0
lgr ≥ 0.2
digest ≥ 0.6.8

Suggests

magrittr
udpipe ≥ 0.6
glmnet
testthat
covr
knitr
rmarkdown
proxy

LinkingTo

Rcpp
digest ≥ 0.6.8

Reverse Imports

conText
occupationMeasurement
PsychWordVec
regtools
text2map
textmineR
ttgsea
wactor
wordsalad

Reverse Suggests

aifeducation
fdm2id
lime
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polyglotr
quanteda
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