tm (0.7-1)

4 users

Text Mining Package.

http://tm.r-forge.r-project.org/
http://cran.r-project.org/web/packages/tm

A framework for text mining applications within R.

Maintainer: Ingo Feinerer
Author(s): Ingo Feinerer [aut, cre], Kurt Hornik [aut], Artifex Software, Inc. [ctb, cph] (pdf_info.ps taken from GPL Ghostscript)

License: GPL-3

Uses: NLP, Rcpp, slam, XML, filehash, SnowballC, Rpoppler
Reverse depends: ANLP, DeducerText, manifestoR, maxent, RcmdrPlugin.temis, RcmdrPlugin.TextMining, RNewsflow, RTextTools, sentiment, smdc, stmgui, textmining, TextoMineR, TextRegression, tm.plugin.dc, tm.plugin.webmining, topicmodels, wethepeople
Reverse suggests: HSAUR2, HSAUR3, iemisctext, koRpus, lsa, movMF, PRISMA, quanteda, rattle, RQDA, stm, stringkernels, tau, textir, tidytext, tmcn, toaster, vkR, wordcloud, wordspace
Reverse enhances: openNLP, rplos, tm.plugin.factiva, tm.plugin.mail

Released 5 months ago.


23 previous versions

Ratings

Overall:

  3.7/5 (3 votes)

Documentation:

  3.7/5 (3 votes)

Log in to vote.

Reviews

No one has written a review of tm yet. Want to be the first? Write one now.


Related packages: RTextTools, maxent, textir, tau, BatchJobs, BatchExperiments, doRNG, bayesm, RInside, OpenCL, dclone, aprof, sentiment, bcp, biglm, bigmemory, bnlearn, caret, data.table, ff(20 best matches, based on common tags.)


Search for tm on google, google scholar, r-help, r-devel.

Visit tm on R Graphical Manual.