What Sentiments Can Be Found in Medical Forums?

SOKOLOVA, Marina; BOBICEV, Victoria

dc.contributor.author	SOKOLOVA, Marina
dc.contributor.author	BOBICEV, Victoria
dc.date.accessioned	2021-05-04T06:51:17Z
dc.date.available	2021-05-04T06:51:17Z
dc.date.issued	2013
dc.identifier.citation	SOKOLOVA, Marin, BOBICEV, Victoria. What Sentiments Can Be Found in Medical Forums? In: Recent Advances in Natural Language Processing: proced. of the RANLP, Oct. 2018, Brussels, Belgium. 7-13 Sept. 2013, Hissar, Bulgaria, 2013, pp. 633–639.	en_US
dc.identifier.uri	http://81.180.74.21:8080/xmlui/handle/123456789/14650
dc.description.abstract	In this work we present sentiment analysis of messages posted on a medical forum. We categorize posts, written in English, into five categories: encouragement, gratitude, confusion, facts, and facts + sentiments. Our study applies a manual sentiment annotation, affective lexicons in its sentiment analysis and machine learning classification of sentiments in these texts. We report empirical results obtained from analysis of 752 posts dedicated to infertility treatments. Our best results improve multi-class sentiment classification of online messages (F-score = 0.518, AUC=0.685).	en_US
dc.language.iso	en	en_US
dc.publisher	RANLP	en_US
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	medical forums	en_US
dc.subject	forums	en_US
dc.subject	messages	en_US
dc.subject	sentiment analysis	en_US
dc.title	What Sentiments Can Be Found in Medical Forums?	en_US
dc.type	Article	en_US