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Issue Date
2015
Metadata
Show full item recordAbstract
This work studies sentiment and factual transitions on an online medical forum where users correspond in English. We work with discussions dedicated to reproductive technologies, an emotionally-charged issue. In several learning problems, we demonstrate that multi-class sentiment classification significantly improves when messages are represented by affective terms combined with sentiment and factual transition information (paired t-test, P=0.0011).Publisher
SpringerJournal
Advances in Artificial Intelligence, 28th Canadian Conference on Artificial IntelligenceType
Journal articleLanguage
enISBN
978-3-319-18356-5Sponsors
Self-fundedCollections
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