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Initial CRAN submission.
tokenize_posts() — tokenizes a text column into a
long-format token table, with optional English stopword removal.cooccurrence_counts() — computes 2x2 contingency table
counts (a, b, c,
word_orientation() — computes the phi coefficient for
each word pair, tests it for significance (chi-squared or Fisher’s exact
test for sparse cells), applies a Benjamini-Hochberg correction across
all tested pairs by default, and classifies each pair as
"attraction", "repulsion", or
"neutral".plot_orientation_network() — plots the strongest
attraction and repulsion word pairs as a network graph, using base
igraph plotting.analyze_word_orientation() — a single-call pipeline
wrapping the four functions above, from raw text to a classified table
and network plot.example_social_posts() — a small built-in toy dataset
for examples and tests.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.
Health stats visible at Monitor.