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Detect Multi-Word Expressions

Source: R/lexical_analysis.R
detect_multi_words.Rd

This function detects multi-word expressions (collocations) of specified sizes that appear at least a specified number of times in the provided tokens.

Usage

detect_multi_words(tokens, size = 2:5, min_count = 2)

Arguments

tokens

A tokens object from the quanteda package.

size

A numeric vector specifying the sizes of the collocations to detect (default: 2:5).

min_count

The minimum number of occurrences for a collocation to be considered (default: 2).

Value

A character vector of detected collocations.

See also

Other lexical: calculate_dispersion_metrics(), calculate_lexical_dispersion(), calculate_log_odds_ratio(), calculate_text_readability(), clear_lexdiv_cache(), extract_keywords_keyness(), extract_keywords_tfidf(), extract_morphology(), extract_named_entities(), extract_noun_chunks(), extract_pos_tags(), extract_subjects_objects(), find_similar_words(), get_sentences(), get_spacy_embeddings(), get_spacy_model_info(), get_word_similarity(), init_spacy_nlp(), lexical_analysis, lexical_diversity_analysis(), lexical_frequency_analysis(), parse_morphology_string(), plot_keyness_keywords(), plot_keyword_comparison(), plot_lexical_diversity_distribution(), plot_morphology_feature(), plot_readability_by_group(), plot_readability_distribution(), plot_tfidf_keywords(), plot_top_readability_documents(), render_displacy_dep(), render_displacy_ent(), spacy_extract_entities(), spacy_has_vectors(), spacy_initialized(), spacy_parse_full(), summarize_morphology()

Examples

if (interactive()) {
  mydata <- TextAnalysisR::SpecialEduTech

  united_tbl <- TextAnalysisR::unite_cols(
    mydata,
    listed_vars = c("title", "keyword", "abstract")
  )

  tokens <- TextAnalysisR::prep_texts(united_tbl, text_field = "united_texts")

  collocations <- TextAnalysisR::detect_multi_words(tokens, size = 2:5, min_count = 2)
  print(collocations)
}