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dc.contributor.author BOBICEV, Victoria
dc.contributor.author SOKOLOVA, Marina
dc.contributor.author EL EMAM, Khaled
dc.contributor.author MATWIN, Stan
dc.date.accessioned 2021-04-08T10:25:12Z
dc.date.available 2021-04-08T10:25:12Z
dc.date.issued 2013
dc.identifier.citation BOBICEV, Victoria, SOKOLOVA, Marina, EL EMAM, Khaled et al. Authorship Attribution in Health Forums. In: Proceedings of the International Conference Recent Advances in Natural Language Processing RANLP Sept. 2013, Hissar, Bulgaria. 2013, pp. 74-82. Anthology ID: R13-1010. en_US
dc.identifier.uri https://www.aclweb.org/anthology/R13-1010
dc.identifier.uri http://repository.utm.md/handle/5014/14044
dc.description Access full text: https://www.aclweb.org/anthology/R13-1010 en_US
dc.description.abstract The emergence of social media (networks, blogs, web forums) has given people numerous opportunities to share their personal stories, including details of their health. Although users mostly post under assumed nicknames, state-of-the-art text analysis techniques can combine texts from different media and use that linkage to identify private details of an individual‟s health. In this study we aim to empirically examine the accuracy of identifying authors of on-line posts on a medical forum. 1 Our results show a high accuracy of the authorship attribution, especially when text is represented by the orthographical features. en_US
dc.language.iso en en_US
dc.publisher INCOMA Ltd. Shoumen, Bulgaria 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 health forums en_US
dc.subject forums en_US
dc.subject authors en_US
dc.title Authorship Attribution in Health Forums en_US
dc.type Article en_US


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