comparison.parameters → tunable parameters used for the building of the "comparison" object.

comparison.effect_sizes → pairwise differences & Cohen’s d

comparison.summary → number of collocates & mean scores

comparison.results → collocates & scores per year (see the table below for the year 1814)

Here’s a 37-second sneak peek showing how the TextAssociations.jl package computes a Bayesian-smoothed version of PMI for the word "might" across Jane Austen’s novels, from text normalization and corpus loading to contingency-table construction and metric calculation.
#JuliaLang #CorpusLinguistics

And here is the resulting DataFrame
#JuliaLang #TextAssociations.jl

In the attached snapshot, contingency tables are generated capturing words occurring within a 5-word window around "innovation" and PMI scores quantify their association strength.
The top 5 collocates are then displayed in a DataFrame. #TextAssociations #JuliaLang