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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.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, graphics, igraph, scales |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2026-08-08 |
| DOI: | 10.32614/CRAN.package.wordorientation |
| Author: | Yosley Carrero [aut, cre] |
| Maintainer: | Yosley Carrero <c3046338 at newcastle.ac.uk> |
| BugReports: | https://github.com/yosleycarrero2025/wordorientation/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/yosleycarrero2025/wordorientation |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | wordorientation results |
| Reference manual: | wordorientation.html , wordorientation.pdf |
| Package source: | wordorientation_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: wordorientation_0.1.0.zip, r-oldrel: wordorientation_0.1.0.zip |
| macOS binaries: | r-release (arm64): wordorientation_0.1.0.tgz, r-oldrel (arm64): wordorientation_0.1.0.tgz, r-release (x86_64): wordorientation_0.1.0.tgz, r-oldrel (x86_64): wordorientation_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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