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]

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texter.pdf |texter.html
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 4 scripts 158 downloads 9 exports 57 dependencies

Last updated 3 years agofrom:1970a09d8f. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 09 2025
R-4.5-winOKMar 09 2025
R-4.5-macOKMar 09 2025
R-4.5-linuxOKMar 09 2025
R-4.4-winOKMar 09 2025
R-4.4-macOKMar 09 2025
R-4.4-linuxOKMar 09 2025
R-4.3-winOKMar 09 2025
R-4.3-macOKMar 09 2025

Exports:counterremoveNumPunctremoveURLsentimentAnalyzertop_bigramstop_Sentimentstop_wordstop_words_Retrieverusers

Dependencies:bitbit64clicliprcolorspacecpp11crayondplyrfansifarverfsgenericsggplot2gluegtablehmsisobandISOcodesjaneaustenrlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrprettyunitsprogresspurrrR6rappdirsRColorBrewerRcppreadrrlangscalesSnowballCstopwordsstringistringrtextdatatibbletidyrtidyselecttidytexttokenizerstzdbutf8vctrsviridisLitevroomwithr