This project uses natural language processing and named entity recognition to parse all the names of scientists found in the index and body of physics textbooks and then automatically query their demographic information. We analyze 10 popular intro texts and the entire Pomona curriculum.

Homogeneity in textbooks is a new area of study with few major papers. In this study, we work to automate the analysis of textbooks using Natural Language Processing. At this stage, sex and birth location are the variables we can analyze. We analyzed 17 textbook used in the Physics and Astronomy Department at Pomona College…