Akshay Shivkumar

NLP Summary Comparisons of Self Help Books

Started Nov. 11, 2022

Abstract or project description

Natural language processing is a relatively old subject in the ML field. Summarization of texts has been a significant use case meant to truncate the length of a text while retaining the meaning. In this project, Akshay will be comparing known NLP summarization models by summarizing self help book texts. Afterwards, the aim of the project is to calculate similarity scores between texts using these summaries, to test the hypothesis of whether self help books really all have the same meaning. Additional ideas for exploring include translated self-help books from other languages and comparing those, and also comparisons of full texts and comparing if there are differences in similarity scores when using full text versus summaries. Another avenue for work would be to use human subject testing to evaluate if humans who have read a self help book text are able to identify that book from the summary versus other summaries.