In UBC-MDS/RSyntext: Summarize text data

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

Package Info

RSyntext is a package that provides high level summary statistics for input text. Its functions are made to be robust and are written in such a way that special characters or outliers in the text will not break expected behaviour. Functions contain parameters that provide the ability to clean input text, remove stopwords, etc.

Included Functions

text_summarize() : Provides total word count, total sentence count, most common + least common words, average word length, and average number of words per sentence text_quality() : Provides the number of spelling errors in input text, as well as the presence of toxic words text_grams() : Provides the most frequent n-grams in input text

Example Use Cases

Below are example inputs and outputs for RSyntext.

suppressWarnings(library(RSyntext))

example <- "I don’t care what they’re going to say. Let the storm rage on. The cold never bothered me anyway."

knitr::kable(text_summarize(example))

example2 <- "This str has words spelllll wrong. This string has a slag word shitty."

knitr::kable(text_quality(example2))

example3 <- "You can stand under my umbrella, You can stand under my umbrella, Under my umbrella, Under my umbrella, Under my umbrella"

knitr::kable(text_grams(example3))

UBC-MDS/RSyntext documentation built on May 7, 2019, 7:14 p.m.