4 Results - Differential Expression

To compare lexicons for male and female characters across all authors, I used DESeq2 to compare word frequencies across character gender. This process is computationally intensive, so I only included the 10,000 most frequent words and 4000 characters with the highest read depth (the entire dataset includes 25,000 characters across 6000 books). Result are visualized in an interactive plot (fig 4.1). Differentially expressed words for female (table 6.1) and male (table 6.2) characters are included in the supplemental data.