We present the package RcmdrPlugin.temis, a graphical user interface for user-friendly text mining in R. Built as a plug-in to the R Commander provided by the Rcmdr package, it brings together several existing packages and provides new features streamlining the process of importing, managing and analyzing a corpus, in addition to saving results and plots to a report file. Beyond common file formats, automated import of corpora from the Dow Jones Factiva content provider and Twitter is supported. Featured analyses include vocabulary and dissimilarity tables, terms frequencies, terms specific of levels of a variable, term co-occurrences, time series, correspondence analysis and hierarchical clustering.
tm, RcmdrPlugin.temis, Rcmdr, RODBC, tm.plugin.factiva, twitteR, SnowballC, zoo, lattice, ca, R2HTML
NaturalLanguageProcessing, Finance, Multivariate, Econometrics, Environmetrics, Graphics, HighPerformanceComputing, Pharmacokinetics, Psychometrics, ReproducibleResearch, TimeSeries, WebTechnologies
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For attribution, please cite this work as
Bouchet-Valat & Bastin, "The R Journal: RcmdrPlugin.temis, a Graphical Integrated Text Mining Solution in R", The R Journal, 2013
BibTeX citation
@article{RJ-2013-018,
author = {Bouchet-Valat, Milan and Bastin, Gilles},
title = {The R Journal: RcmdrPlugin.temis, a Graphical Integrated Text Mining Solution in R},
journal = {The R Journal},
year = {2013},
note = {https://doi.org/10.32614/RJ-2013-018},
doi = {10.32614/RJ-2013-018},
volume = {5},
issue = {1},
issn = {2073-4859},
pages = {188-196}
}