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'))

Peer review:

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:

9 exports 2 stars 0.83 score 57 dependencies 4 scripts 137 downloads

Last updated 3 years agofrom:1970a09d8f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 10 2024
R-4.5-winOKSep 10 2024
R-4.5-linuxOKSep 10 2024
R-4.4-winOKSep 10 2024
R-4.4-macOKSep 10 2024
R-4.3-winOKSep 10 2024
R-4.3-macOKSep 10 2024

Exports:counterremoveNumPunctremoveURLsentimentAnalyzertop_bigramstop_Sentimentstop_wordstop_words_Retrieverusers

Dependencies:bitbit64clicliprcolorspacecpp11crayondplyrfansifarverfsgenericsggplot2gluegtablehmsisobandISOcodesjaneaustenrlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrprettyunitsprogresspurrrR6rappdirsRColorBrewerRcppreadrrlangscalesSnowballCstopwordsstringistringrtextdatatibbletidyrtidyselecttidytexttokenizerstzdbutf8vctrsviridisLitevroomwithr