Presentation
Finding Needles in a Haystack: A Case Study of Text Mining the Corpus of 15 Academic Journals
Digital Library Federation Forum
(2019)
Abstract
Learn how a team collaborated to develop a text mining process for 7,500 journal articles and 500+ keywords to determine how often, when, and in what context specific terms were used. We share our processes obtaining journal permissions, data conversion, and code writing, which you can replicate to assist researchers.
Keywords
- text data mining,
- python
Disciplines
Publication Date
Fall October 15, 2019
Location
Tampa Bay, FL
Citation Information
Eric A. Kowalik, Tara Baillargeon and Jennifer M. Cook. "Finding Needles in a Haystack: A Case Study of Text Mining the Corpus of 15 Academic Journals" Digital Library Federation Forum (2019) Available at: http://works.bepress.com/tara_baillargeon/6/
Creative Commons License
This work is licensed under a Creative Commons CC_BY-SA International License.