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textpress (version 1.0.0)

sem_search_corpus: NLP Search Corpus

Description

Searches a text corpus for specified patterns, with support for parallel processing.

Usage

sem_search_corpus(
  tif,
  text_hierarchy = c("doc_id", "paragraph_id", "sentence_id"),
  search,
  context_size = 0,
  is_inline = FALSE,
  highlight = c("", ""),
  cores = 1
)

Value

A data.table with the search results.

Arguments

tif

A data frame or data.table containing the text corpus.

text_hierarchy

A character vector indicating the column(s) by which to group the data.

search

The search pattern or query.

context_size

Numeric, default 0. Specifies the context size, in sentences, around the found patterns.

is_inline

Logical, default FALSE. Indicates if the search should be inline.

highlight

A character vector of length two, default c('<b>', '</b>'). Used to highlight the found patterns in the text.

cores

Numeric, default 1. The number of cores to use for parallel processing.

Examples

Run this code
tif <- data.frame(doc_id = c('1', '1', '2'),
                  sentence_id = c('1', '2', '1'),
                  text = c("Hello world.",
                           "This is an example.",
                           "This is a party!"))
sem_search_corpus(tif, search = 'This is', text_hierarchy = c('doc_id', 'sentence_id'))

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