EVENT
How the Story Ends: What a Machine Learned From Reading 13,032 Novels
- Title:
- How the Story Ends: What a Machine Learned From Reading 13,032 Novels
- Presenter:
- Matthew Jockers
- Affiliations:
- Washington State University
- Date:
- 2020-11-03
- Academic Year:
- 2020/21
- Description:
- Matthew Jockers (Washington State University) describes his use of computational sentiment analysis to study 13,000 novels from 1800 to 2000. The ratio of positive to negative terms in fiction declines in a regular and systematic fashion that suggests that novels are becoming more somber and less optimistic.
- Video Link:
- https://youtu.be/bWCaAoikxaY
- Original Link:
- https://www.uidaho.edu/class/mric/archive/2020-fall
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- Citation:
- "How the Story Ends: What a Machine Learned From Reading 13,032 Novels", Renfrew Colloquium Archive, University of Idaho Library Digital Collections, https://www.lib.uidaho.edu/digital/mric/items/mric2020-21-012.html