Thumbs Up and Down: Sentiment Analysis of Medical Online Forums

BOBICEV, Victoria; SOKOLOVA, Marina

dc.contributor.author	BOBICEV, Victoria
dc.contributor.author	SOKOLOVA, Marina
dc.date.accessioned	2021-04-30T10:36:48Z
dc.date.available	2021-04-30T10:36:48Z
dc.date.issued	2018
dc.identifier.citation	BOBICEV, Victoria, SOKOLOVA, Marina. Thumbs Up and Down: Sentiment Analysis of Medical Online Forum. In: The 3rd Social Media Mining for Health Applications Workshop & Shared Task: proced. of the 2018 EMNLP Workshop SMM4H, Oct. 2018, Brussels, Belgium. 2018, pp. 22-26.	en_US
dc.identifier.uri	https://doi.org/10.18653/v1/W18-5906
dc.identifier.uri	http://81.180.74.21:8080/xmlui/handle/123456789/14647
dc.description	Acces full text: https://doi.org/10.18653/v1/W18-5906	en_US
dc.description.abstract	In the current study, we apply multi-class and multi-label sentence classification to sentiment analysis of online medical forums. We aim to identify major health issues discussed in online social media and the types of sentiments those issues evoke. We use ontology of personal health information for Information Extraction and apply Machine Learning methods in automated recognition of the expressed sentiments.	en_US
dc.language.iso	en	en_US
dc.publisher	Association for Computational Linguistics	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	sentences	en_US
dc.title	Thumbs Up and Down: Sentiment Analysis of Medical Online Forums	en_US
dc.type	Article	en_US