Calculate Weighted Log Odds Ratio

Computes weighted log odds ratios using the method from Monroe, Colaresi, and Quinn (2008) "Fightin' Words" via the tidylo package. This method weights log odds by variance (z-score) to identify words that reliably distinguish between groups, accounting for sampling variability.

Usage

calculate_weighted_log_odds(dfm_object, group_var, top_n = 10, min_count = 5)

Arguments

dfm_object

A quanteda dfm object

group_var

Character, name of the document variable to group by

top_n

Number of top terms to return per group (default: 10)

min_count

Minimum total count for a term to be included (default: 5)

Value

A data frame with columns: group, feature, n, log_odds_weighted, and log_odds (from tidylo::bind_log_odds)

References

Monroe, B. L., Colaresi, M. P., & Quinn, K. M. (2008). Fightin' words: Lexical feature selection and evaluation for identifying the content of political conflict. Political Analysis, 16(4), 372-403.

Silge, J., & Robinson, D. (2017). Text mining with R: A tidy approach. O'Reilly Media. https://www.tidytextmining.com/

Examples

if (FALSE) { # \dontrun{
weighted_odds <- calculate_weighted_log_odds(dfm, "party", top_n = 15)
} # }