Package: tall 1.0.0.9000
tall: Text Analysis for All
An R 'shiny' app designed for diverse text analysis tasks, offering a wide range of methodologies tailored to Natural Language Processing (NLP) needs. It is a versatile, general-purpose tool for analyzing textual data. 'tall' features a comprehensive workflow, including data cleaning, preprocessing, statistical analysis, and visualization, all integrated for effective text analysis.
Authors:
tall_1.0.0.9000.tar.gz
tall_1.0.0.9000.zip(r-4.7)tall_1.0.0.9000.zip(r-4.6)tall_1.0.0.9000.zip(r-4.5)
tall_1.0.0.9000.tgz(r-4.6-x86_64)tall_1.0.0.9000.tgz(r-4.6-arm64)tall_1.0.0.9000.tgz(r-4.5-x86_64)tall_1.0.0.9000.tgz(r-4.5-arm64)
tall_1.0.0.9000.tar.gz(r-4.7-arm64)tall_1.0.0.9000.tar.gz(r-4.7-x86_64)tall_1.0.0.9000.tar.gz(r-4.6-arm64)tall_1.0.0.9000.tar.gz(r-4.6-x86_64)
tall_1.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tall/json (API)
| # Install 'tall' in R: |
| install.packages('tall', repos = c('https://massimoaria.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/massimoaria/tall/issues
- mobydick - Lemmatized Text of Moby-Dick
r-shinytext-analysis-and-sentiment-analysistext-classificationtext-miningtextual-analysiscpp
Last updated from:ced41d49f6. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 273 | ||
| linux-devel-x86_64 | OK | 288 | ||
| source / vignettes | OK | 266 | ||
| linux-release-arm64 | OK | 267 | ||
| linux-release-x86_64 | OK | 272 | ||
| macos-release-arm64 | OK | 166 | ||
| macos-release-x86_64 | OK | 384 | ||
| macos-oldrel-arm64 | OK | 130 | ||
| macos-oldrel-x86_64 | OK | 337 | ||
| windows-devel | OK | 224 | ||
| windows-release | OK | 222 | ||
| windows-oldrel | OK | 223 | ||
| wasm-release | OK | 198 |
Exports:calculate_ngram_iscompute_syntactic_complexityextract_noun_phrasesextract_svo_tripletsprocess_multiwords_fastreinertreinPlotreinSummarytallterm_per_clustertxt_recode_fasttxt_recode_ngram_fast
Dependencies:antiwordAsioHeadersaskpassbase64encBHbitbit64bitopsbookdownbslibcacachemcellrangerchromoteclicliprcodetoolscolorspacecommonmarkcpp11crayoncrosstalkcurldata.tabledigestdoParalleldplyrDTevaluatefarverfastmapfastmatchfontawesomeforeachfreshfsfuturegenericsggforceggplot2ggraphggrepelggwordcloudglmnetglobalsgluegraphlayoutsgridExtragridtextgtableherehighrhmshtmltoolshtmlwidgetshttpuvhttrhttr2igraphisobandISOcodesiteratorsjpegjquerylibjsonliteknitrlabelinglaterlatticelazyevalldalifecyclelistenvlitedownmagrittrmarkdownMASSMatrixmatrixStatsmemoisemimemintymodeltoolsndjsonNLPopensslopenxlsxotelpagedownparallellypdftoolspillarpkgconfigplotlypngpolyclipprettyunitsprocessxprogresspromisespspurrrqpdfquadprogquantedaR6rangerrappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppProgressRcppTOMLRCurlreadODSreadrreadtextreadxlrematchreticulaterjsonrlangrmarkdownrprojrootRSpectrarstudioapiS7sandwichsassscalesservrshapeshinyshinycssloadersshinydashboardshinydashboardPlusshinyFilesshinyjsshinyWidgetsslamSnowballCsourcetoolssparklinestmstopwordsstreamRstringistringrstriprtfstrucchangesurvivalsyssystemfontstextranktibbletidygraphtidyrtidyselecttinytextmtopicmodelstweenrtzdbudpipeumaputf8vctrsviridisviridisLitevisNetworkvroomwaiterwebsocketwithrword2vecxfunxml2xtableyamlzipzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculate IS index for n-grams | calculate_ngram_is |
| Compute Syntactic Complexity Metrics per Document (C++ backend) | compute_syntactic_complexity |
| Extract Noun Phrases via Dependency Parsing (C++ backend) | extract_noun_phrases |
| Extract SVO (Subject-Verb-Object) Triplets via Dependency Parsing (C++ backend) | extract_svo_triplets |
| Lemmatized Text of Moby-Dick (Chapters 1-10) | mobydick |
| Optimized multiword processing workflow | process_multiwords_fast |
| Segment clustering based on the Reinert method - Simple clustering | reinert |
| Plot Terms by Cluster | reinPlot |
| Summarize Reinert Clustering Results | reinSummary |
| TALL UI | tall |
| Extract Terms and Segments for Document Clusters | term_per_cluster |
| Fast text recoding (Rcpp version) | txt_recode_fast |
| Fast n-gram recoding for multiword detection | txt_recode_ngram_fast |
