JULIASILGE . GITHUB . IO {
}
Title:
Text Mining using dplyr, ggplot2, and Other Tidy Tools • tidytext
Description:
Using tidy data principles can make many text mining tasks easier, more effective, and consistent with tools already in wide use. Much of the infrastructure needed for text mining with tidy data frames already exists in packages like dplyr, broom, tidyr, and ggplot2. In this package, we provide functions and supporting data sets to allow conversion of text to and from tidy formats, and to switch seamlessly between tidy tools and existing text mining packages.
Website Age:
12 years and 3 months (reg. 2013-03-08).
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Keywords {🔍}
sense, sensibility, tidy, negative, text, sentiment, word, mining, data, austen, package, tibble, chr, int, rows, function, tidybooks, term, tools, book, words, tidytext, jane, format, line, count, positive, dbl, julia, silge, david, robinson, license, principles, packages, lets, originalbooks, fct, find, document, tidyassociatedpress, articles, authors, frames, dplyr, broom, existing, install, cran, unnesttokens,
Topics {✒️}
david robinson license negative words negative documents sense sensibility document term matrices david robinson julia silge index bug reports file issues term data frame positive options include characters fill = book jane austen jane austen supporting data sets word = term mit chapter 1 remove stop words text mining packages tidy data principles tidy data frames tidy text mining sentiment lexicons sentiment score names_from = sentiment sentiment scores book term frequency document line format line = row_number label = word juliasilge/tidytext ap datasets text mining press articles contributor code tidytext vignette sentiment wt = count text column term = tidy formats tidy tools tidy format tidy dataset
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