| Type: | Package |
| Title: | 'textanalyzer', an R Package to Analyze Text |
| Version: | 0.2.0 |
| Description: | It analyzes text to create a count of top n-grams, including tokens (one-word), bigrams(two-word), and trigrams (three-word), while removing all stopwords. It also plots the n-grams and corresponding counts as a bar chart. |
| License: | GPL-3 |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.3.2 |
| Depends: | tidytext, tidyr, dplyr, ggplot2, utils, stats |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Config/testthat/edition: | 3 |
| VignetteBuilder: | knitr |
| NeedsCompilation: | no |
| Packaged: | 2025-01-25 09:34:40 UTC; RPUSH1 |
| Author: | Pushker Ravindra [aut, cre] |
| Maintainer: | Pushker Ravindra <pushker@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2025-01-29 17:20:02 UTC |
Analyze Bigrams
Description
Analyze text with ngram=2 (bigrams).
Usage
analyze_bigrams(in_text, top_rows = 25)
Arguments
in_text |
a character vector. Text to be analyzed as a character vector. |
top_rows |
a numeric vector of length 1. Number of top rows to be returned. |
Details
analyze_bigrams
Value
A data.frame with two columns - bigram (character vector) and count (numeric vector).
Author(s)
Ravindra Pushker
Examples
analyze_bigrams(in_text=c("The quick brown fox jumps over the lazy dog."))
Analyze NGrams
Description
Analyze text with ngram among 1, 2 or 3.
Usage
analyze_ngrams(in_text, ngram = 1, top_rows = 25)
Arguments
in_text |
a character vector. Text to be analyzed as a character vector. |
ngram |
a numeric_vector of length 1. Ngram = 1, 2 or 3. |
top_rows |
a numeric vector of length 1. Number of top rows to be returned. |
Details
analyze_ngrams
Value
A data.frame with two columns - word/bigram/trigram (character vector) and count (integer vector).
Author(s)
Ravindra Pushker
Examples
analyze_ngrams(in_text=c("The quick brown fox jumps over the lazy dog."))
Analyze Tokens
Description
Analyze text with ngram=1
Usage
analyze_tokens(in_text, top_rows = 25)
Arguments
in_text |
a character vector. Text to be analyzed as a character vector. |
top_rows |
a numeric vector of length 1. Number of top rows to be returned. |
Details
analyze_tokens
Value
A data.frame with two columns - word (character vector) and count (numeric vector).
Author(s)
Ravindra Pushker
Examples
analyze_tokens(in_text=c("The quick brown fox jumps over the lazy dog."))
Analyze Trigrams
Description
Analyze text with ngram=3 (trigrams).
Usage
analyze_trigrams(in_text, top_rows = 25)
Arguments
in_text |
a character vector. Text to be analyzed as a character vector. |
top_rows |
a numeric vector of length 1. Number of top rows to be returned. |
Details
analyze_trigrams
Value
A data.frame with two columns - trigram (character vector) and count (numeric vector).
Author(s)
Ravindra Pushker
Examples
analyze_trigrams(in_text=c("The quick brown fox jumps over the lazy dog."))
Plot Ngrams
Description
Plot ngrams - Word(s) vs. Count.
Usage
plot_ngrams(ngrams_data, top_rows = 25, plot_nrows = 25)
Arguments
ngrams_data |
a data.frame containing word and n columns. |
top_rows |
a numeric vector of length 1. Number of top rows to be returned. |
plot_nrows |
a numeric vector of length 1. Number of rows to be plotted. |
Details
plot_ngrams
Value
A ggplot plot object of bar chart with words and their counts.
Author(s)
Ravindra Pushker
Examples
plot_ngrams(data.frame(word=c("test1", "test2"), n=c(25, 30)))