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| Ultima descărcare din IBN: 2023-07-12 03:35 |
 SM ISO690:2012BOBICEV, Victoria, SOKOLOVA, Marina. No sentiment is an Island: Sentiment classification on medical forums. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Ed. 18, 4-6 octombrie 2015, Banff. Dusseldorf: Springer Verlag, 2015, Vol. 9356 Ed. 18, pp. 25-32. ISBN 978-331924281-1. ISSN 03029743. DOI: https://doi.org/10.1007/978-3-319-24282-8_4 |
| EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
| Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9356 Ed. 18, 2015 |
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Conferința "18th International Conference on Discovery Science" 18, Banff, Canada, 4-6 octombrie 2015 | ||||||
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| DOI:https://doi.org/10.1007/978-3-319-24282-8_4 | ||||||
| Pag. 25-32 | ||||||
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In this study we propose a new method to classify sentiments in messages posted on online forums. Traditionally, sentiment classification relies on analysis of emotionally-charged words and discourse units found in the classified text. In coherent online discussions, however, messages’ non-lexical meta-information can be sufficient to achieve reliable classification results. Our empirical evidence is obtained through multi-class classification of messages posted on a medical forum. |
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| Cuvinte-cheie Classification results, Meta information, Multi-class classification, Online discussions, Online forums, Sentiment classification |
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