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:
texter_0.1.9.tar.gz
texter_0.1.9.zip(r-4.5)texter_0.1.9.zip(r-4.4)texter_0.1.9.zip(r-4.3)
texter_0.1.9.tgz(r-4.4-any)texter_0.1.9.tgz(r-4.3-any)
texter_0.1.9.tar.gz(r-4.5-noble)texter_0.1.9.tar.gz(r-4.4-noble)
texter_0.1.9.tgz(r-4.4-emscripten)texter_0.1.9.tgz(r-4.3-emscripten)
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
- 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
Last updated 3 years agofrom:1970a09d8f. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 09 2024 |
R-4.5-win | OK | Nov 09 2024 |
R-4.5-linux | OK | Nov 09 2024 |
R-4.4-win | OK | Nov 09 2024 |
R-4.4-mac | OK | Nov 09 2024 |
R-4.3-win | OK | Nov 09 2024 |
R-4.3-mac | OK | Nov 09 2024 |
Exports:counterremoveNumPunctremoveURLsentimentAnalyzertop_bigramstop_Sentimentstop_wordstop_words_Retrieverusers
Dependencies:bitbit64clicliprcolorspacecpp11crayondplyrfansifarverfsgenericsggplot2gluegtablehmsisobandISOcodesjaneaustenrlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrprettyunitsprogresspurrrR6rappdirsRColorBrewerRcppreadrrlangscalesSnowballCstopwordsstringistringrtextdatatibbletidyrtidyselecttidytexttokenizerstzdbutf8vctrsviridisLitevroomwithr