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DESCRIPTION
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DESCRIPTION
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Package: experienceAnalysis
Title: Helper Functions for Text Mining
Version: 0.3.0
Authors@R:
person(given = "Andreas D",
family = "Soteriades",
role = c("aut", "cre"),
email = "[email protected]",
comment = c(ORCID = "0000-0002-5992-9602"))
Description: Package `{experienceAnalysis}` contains a suite of functions for performing
_text mining_ such as sentiment analysis, analysis of word counts, TF-IDFs and
_n_-grams etc. The package was developed as a helper package for use with other
packages/repos developed by
the [CDU Data Science Team](https://github.com/CDU-data-science-team), but the
functions are generic and thus suitable for broader use. The largest focus is
on calculating sentiment indicators and word counts/frequencies for labeled or unlabeled text,
and plotting the outcomes to easily detect potentially important information in
the text. However, there are a few "spin-off" functions for assessing the
performance of a classification model, e.g. calculating accuracy per class, making
and plotting confusion matrices etc.\n
The package makes extensive use of [{tidytext}](https://www.tidytextmining.com/index.html)
(Silge & Robinson, 2017) but also employs `Python` libraries for sentiment
analysis (e.g. [TextBlob](https://textblob.readthedocs.io/en/dev/)) with the use
of [{reticulate}](https://rstudio.github.io/reticulate/).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.1
Imports:
magrittr,
Rdpack,
reticulate,
yardstick,
forcats
Depends:
R (>= 2.10)
Suggests:
testthat (>= 3.0.0)
Config/testthat/edition: 3