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

Sentiment analysis of the Reading Experience Database

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 »

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