A framework for text mining applications within R.
Version: | 0.7-7 |
Depends: | R (≥ 3.2.0), NLP (≥ 0.2-0) |
Imports: | Rcpp, parallel, slam (≥ 0.1-37), stats, tools, utils, graphics, xml2 |
LinkingTo: | BH, Rcpp |
Suggests: | antiword, filehash, methods, pdftools, Rcampdf, Rgraphviz, Rpoppler, SnowballC, testthat, tm.lexicon.GeneralInquirer |
Published: | 2019-12-12 |
Author: | Ingo Feinerer [aut, cre], Kurt Hornik [aut], Artifex Software, Inc. [ctb, cph] (pdf_info.ps taken from GPL Ghostscript) |
Maintainer: | Ingo Feinerer <feinerer at logic.at> |
License: | GPL-3 |
URL: | http://tm.r-forge.r-project.org/ |
NeedsCompilation: | yes |
SystemRequirements: | C++11 |
Citation: | tm citation info |
Materials: | NEWS |
In views: | HighPerformanceComputing, NaturalLanguageProcessing |
CRAN checks: | tm results |
Reference manual: | tm.pdf |
Vignettes: |
Extensions Introduction to the tm Package |
Package source: | tm_0.7-7.tar.gz |
Windows binaries: | r-devel: tm_0.7-7.zip, r-release: tm_0.7-7.zip, r-oldrel: tm_0.7-7.zip |
macOS binaries: | r-release: tm_0.7-7.tgz, r-oldrel: tm_0.7-7.tgz |
Old sources: | tm archive |
Reverse depends: | BullsEyeR, DeducerText, manifestoR, R.temis, RcmdrPlugin.temis, RNewsflow, stmgui, tm.plugin.dc, Xplortext |
Reverse imports: | chinese.misc, cranly, CSeqpat, doc2concrete, edgar, gcite, geneXtendeR, gofastr, goldi, inpdfr, KDViz, klassR, LilRhino, MoMPCA, needmining, ngramrr, oRus, petro.One, phm, politeness, polmineR, PubMedWordcloud, qdap, rClinicalCodes, revtools, RKEA, Robocoap, rrvgo, RTextTools, scientoText, SentimentAnalysis, shinyr, speech, steemr, stmCorrViz, TAShiny, TELP, TextForecast, textreg, tm.plugin.alceste, tm.plugin.europresse, tm.plugin.factiva, tm.plugin.lexisnexis, tm.plugin.mail, tm.plugin.webmining, topicmodels, tosca, vader, VOSONDash |
Reverse suggests: | BiocPkgTools, corpustools, cwbtools, GEOmetadb, iemisctext, koRpus, LexisNexisTools, lsa, movMF, PRISMA, quanteda, rainette, rattle, sentometrics, stm, tau, tidytext, tmcn, vagalumeR, vkR, wordcloud, wordspace |
Reverse enhances: | corpus |
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