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Sentiment analysis of the Reading Experience Database
Lightning talk slides (PDF)
March 28, 2012
CIRSS Student Research Group
Graduate School of Library & Information Science (GSLIS), University of Illinois Urbana-Champaign
Final presentation (PDF)
April 27, 2012
LIS590TX—Text Mining
GSLIS
Slide from final presentation
For the Text Mining course taught at GSLIS by Dr. Catherine Blake, I used basic Python-powered sentiment analysis to explore the Reading Experience Database, a collection of 30,000 evidences of reading experiences from Britain 1450-1945. (Example of a "reading experience": Sir Walter Scott reading Pride & Prejudice by Jane Austen alone in England on March 14, 1926.)
For this project, I used a mix of freely available and restricted-access corpora and tools. I presented some initial results. The project was fun, but the data was somewhat dirty and I didn't have enough time to do as much as I wanted. More about the project »