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 SM ISO690:2012BOBICEV, Victoria, SOKOLOVA, Marina. Confused and thankful: Multi-label sentiment classification of health forums. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Ed. 30, 16-19 mai 2017, Edmonton. Edmonton, Canada: Springer Verlag, 2017, Vol. 10233 Ed. a 30-a, pp. 284-289. ISBN 978-331957350-2. ISSN 03029743. DOI: https://doi.org/10.1007/978-3-319-57351-9_33 |
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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10233 Ed. a 30-a, 2017 |
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Conferința "30th Canadian Conference on Artificial Intelligence" 30, Edmonton, Canada, 16-19 mai 2017 | ||||||
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| DOI:https://doi.org/10.1007/978-3-319-57351-9_33 | ||||||
| Pag. 284-289 | ||||||
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Our current work studies sentiment representation in messages posted on health forums. We analyze 11 sentiment representations in a framework of multi-label learning. We use Exact Match and F-score to compare effectiveness of those representations in sentiment classification of a message. Our empirical results show that feature selection can significantly improve Exact Match of the multi-label sentiment classification (paired t-test, P = 0.0024). |
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| Cuvinte-cheie Medical forums, Multi-label learning, Sentiment classification |
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