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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "wordorientation" in publications use:'
type: software
license: MIT
title: 'wordorientation: Detect Attraction and Repulsion Between Words in Text'
version: 0.1.0
doi: 10.32614/CRAN.package.wordorientation
abstract: 'Provides tools to quantify how strongly pairs of words attract or repel
  each other in a text corpus, based on co-occurrence patterns. For each word pair,
  the phi coefficient (a correlation measure for binary variables) is computed from
  a document-term matrix and tested for significance, then classified as showing attraction
  (co-occurring more than chance would predict), repulsion (co-occurring less than
  chance would predict), or no significant relationship. A full pipeline is provided
  from raw text to a labeled network visualization. Unlike general-purpose pairwise
  correlation tools, ''wordorientation'' is built specifically for text: it handles
  tokenization and stopword removal, applies significance-based classification rather
  than reporting a raw correlation coefficient alone, and produces a ready-to-plot
  attraction/ repulsion network. Methods for word co-occurrence and the phi coefficient
  follow Evert (2008) <https://doi.org/10.1075/z.143.13eve> and standard corpus linguistics
  practice for collocation and association measures.'
authors:
- family-names: Name
  given-names: Your
  email: you@example.com
repository: https://yosleycarrero2025.r-universe.dev
repository-code: https://github.com/yourusername/wordorientation
commit: 8f27a0e2261e5ec16b566f181656d1a13bd36e79
url: https://github.com/yourusername/wordorientation
date-released: '2026-08-27'
contact:
- family-names: Name
  given-names: Your
  email: you@example.com