Package: texter 0.1.9

texter: An Easy Text and Sentiment Analysis Library

Implement text and sentiment analysis with 'texter'. Generate sentiment scores on text data and also visualize sentiments. 'texter' allows you to quickly generate insights on your data. It includes support for lexicons such as 'NRC' and 'Bing'.

Authors:Simi Kafaru [aut, cre]

texter_0.1.9.tar.gz
texter_0.1.9.zip(r-4.7)texter_0.1.9.zip(r-4.6)texter_0.1.9.zip(r-4.5)
texter_0.1.9.tgz(r-4.6-any)texter_0.1.9.tgz(r-4.5-any)
texter_0.1.9.tar.gz(r-4.7-any)texter_0.1.9.tar.gz(r-4.6-any)
texter_0.1.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
texter/json (API)

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

Bug tracker:https://github.com/simmieyungie/texter/issues

Datasets:
  • brexit - This is the first data to be included in my package
  • doge - This is the first data to be included in my package
  • nrc - This data was saved NRC word-emotion association lexicon
  • stop_words - Saved stop_word dataframe from tidytext

On CRAN:

Conda:

3.00 score 2 stars 5 scripts 141 downloads 9 exports 52 dependencies

Last updated from:1970a09d8f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK164
source / vignettesOK165
linux-release-x86_64OK156
macos-release-arm64OK186
macos-oldrel-arm64OK170
windows-develOK162
windows-releaseOK140
windows-oldrelOK110
wasm-releaseOK110

Exports:counterremoveNumPunctremoveURLsentimentAnalyzertop_bigramstop_Sentimentstop_wordstop_words_Retrieverusers

Dependencies:bitbit64clicliprcpp11crayondplyrfarverfsgenericsggplot2gluegtablehmsisobandISOcodesjaneaustenrlabelinglatticelifecyclemagrittrMatrixpillarpkgconfigplyrprettyunitsprogresspurrrR6rappdirsRColorBrewerRcppreadrrlangS7scalesSnowballCstopwordsstringistringrtextdatatibbletidyrtidyselecttidytexttokenizerstzdbutf8vctrsviridisLitevroomwithr