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The discipline of women’s studies and the analysis of gender in regard to women has only become expansive since 1985. Even though the this scholarship is finally joining history and enables people to have the resources and opportunity to learn about the history of women and their struggle, topic modeling educates people that their is a lot more progress surrounding women’s studies to happen. From a a Quantitative analysis, it is quite obvious that the study of womanhood is centrally focused on “gender”, “women”, or a “group of woman” hence that these words are mentioned at least every 1500 words and majority of articles in this fieldwork are highly concentrated around these words. It is very crucial for data analysis and topic modeling to be apart of researching women’s studies because it gives statistical data that portrays the frequency of words that is used to describe this field study. Without these numbers, society would just think it would be ok with the progress that has been made and just check the box rather then seeking for improvement. In a blog written by a peer of mine states perfectly on this subject. The blog expresses that since topical modeling can decipher frequency of words, this skill exploits the inequality between gender and the discourse of womens studies.