Women's Genre Fiction Collection Text Mining
Title
Women's Genre Fiction Collection Text Mining
Short Description of Project
Exploring the use of natural language processing techniques with the Women's Genre Fiction collection.
The collection consists of 244 novels and short stories written by British and American women in the mid-19th and early 20th centuries. Possible text mining techniques include using the NLTK library in Python, Stanford's part-of-speech tagger, word frequency analysis with R and topic modeling theme with MALLET.
The collection consists of 244 novels and short stories written by British and American women in the mid-19th and early 20th centuries. Possible text mining techniques include using the NLTK library in Python, Stanford's part-of-speech tagger, word frequency analysis with R and topic modeling theme with MALLET.
Citation
“Women's Genre Fiction Collection Text Mining,” ECDS Project Catalog, accessed November 13, 2026, https://catalog.ecds.emory.edu/items/show/104.