Package: R.temis 0.1.3

R.temis: Integrated Text Mining Solution

An integrated solution to perform a series of text mining tasks such as importing and cleaning a corpus, and analyses like terms and documents counts, lexical summary, terms co-occurrences and documents similarity measures, graphs of terms, correspondence analysis and hierarchical clustering. Corpora can be imported from spreadsheet-like files, directories of raw text files, as well as from 'Dow Jones Factiva', 'LexisNexis', 'Europresse' and 'Alceste' files.

Authors:Milan Bouchet-Valat [aut, cre], Gilles Bastin [aut], Antoine Chollet [aut]

R.temis_0.1.3.tar.gz
R.temis_0.1.3.zip(r-4.5)R.temis_0.1.3.zip(r-4.4)R.temis_0.1.3.zip(r-4.3)
R.temis_0.1.3.tgz(r-4.4-any)R.temis_0.1.3.tgz(r-4.3-any)
R.temis_0.1.3.tar.gz(r-4.5-noble)R.temis_0.1.3.tar.gz(r-4.4-noble)
R.temis_0.1.3.tgz(r-4.4-emscripten)R.temis_0.1.3.tgz(r-4.3-emscripten)
R.temis.pdf |R.temis.html
R.temis/json (API)
NEWS

# Install 'R.temis' in R:
install.packages('R.temis', repos = c('https://nalimilan.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/nalimilan/r.temis/issues

On CRAN:

text-mining

4.49 score 26 stars 24 scripts 157 downloads 21 exports 141 dependencies

Last updated 8 months agofrom:393acd08f4. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winNOTENov 01 2024
R-4.5-linuxNOTENov 01 2024
R-4.4-winNOTENov 01 2024
R-4.4-macNOTENov 01 2024
R-4.3-winNOTENov 01 2024
R-4.3-macNOTENov 01 2024

Exports:add_clustersbuild_dtmcharacteristic_docscombine_termsconcordancescontributive_docscooc_termscorpus_cacorpus_clusteringdictionaryextreme_docsfrequent_termsimport_corpuslexical_summaryset_corpus_variablesspecific_termssplit_documentssubset_corpusterm_freqterms_graphword_cloud

Dependencies:abindaskpassbackportsbase64encBHbootbriobroombslibcachemcallrcarcarDatacliclustercolorspacecommonmarkcowplotcpp11crayoncrosstalkcurlDerivdescdiffobjdigestdoBydplyrDTellipseemmeansestimabilityevaluateexplorFactoMineRfansifarverfastmapflashClustfontawesomeformatRFormulafsgenericsggplot2ggrepelgluegtablehighrhtmltoolshtmlwidgetshttpuvhttrigraphisobandISOcodesjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrNLPnnetnumDerivopensslpbkrtestpillarpkgbuildpkgconfigpkgloadpraiseprocessxpromisespspurrrquantregR6rappdirsRColorBrewerRcppRcppEigenrematch2rlangrmarkdownrprojrootrvestsassscalesscatterD3scatterplot3dselectrshinyslamSnowballCsourcetoolsSparseMstringistringrsurvivalsystestthattibbletidyrtidyselecttinytextmtm.plugin.alcestetm.plugin.europressetm.plugin.factivatm.plugin.lexisnexisutf8vctrsviridisLitewaldowithrwordcloudxfunXMLxml2xtableyaml

Readme and manuals

Help Manual

Help pageTopics
add_clustersadd_clusters
build_dtmbuild_dtm
characteristic_docscharacteristic_docs
combine_termscombine_terms
concordancesconcordances
contributive_docscontributive_docs
cooc_termscooc_terms
corpus_cacorpus_ca
corpus_clusteringcorpus_clustering
dictionarydictionary
extreme_docsextreme_docs
frequent_termsfrequent_terms
import_corpusimport_corpus
lexical_summarylexical_summary
set_corpus_variablesset_corpus_variables
specific_termsspecific_terms
split_documentssplit_documents
subset_corpussubset_corpus
term_freqterm_freq
terms_graphterms_graph
word_cloudword_cloud