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Tweet Author Gender Identification. PAN 2016 Task

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dc.contributor.author NICVIST, Serghei
dc.contributor.author BOGATIREVA, Daria
dc.contributor.author BOBICEV, Victoria
dc.date.accessioned 2019-06-28T12:45:52Z
dc.date.available 2019-06-28T12:45:52Z
dc.date.issued 2018
dc.identifier.citation NICVIST, Serghei, BOGATIREVA, Daria, BOBICEV, Victoria. Tweet Author Gender Identification. PAN 2016 Task. In: Telecomunicaţii, Electronică şi Informatică: proc. of the 6th intern. conf., May 24-27, 2018. Chişinău, 2018, pp. 344-347. ISBN 978-9975-45-540-4. en_US
dc.identifier.isbn 978-9975-45-540-4
dc.identifier.uri http://repository.utm.md/handle/5014/2810
dc.description.abstract The paper presents an experiment of tweet’s author gender detection. We used PAN 2016 data and task description and have build an application that decides whether an analysed tweet has been written by man or woman. Multiple texts’ characteristics are used as features in the application, such as: references to pictures, to web pages, to other people, emojis, hashtags and a number of words that are associated with tweets written by women and men respectively. For 100 random tweets we obtained average accuracy 0.61. This is good result although it is not as good as the best one in PAN 2016 task. en_US
dc.language.iso en en_US
dc.publisher Tehnica UTM 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 user generated content en_US
dc.subject text automate analysis en_US
dc.subject user profiling en_US
dc.subject conținut generat de utilizatori en_US
dc.subject analiza automată a textului en_US
dc.subject profilarea utilizatorilor en_US
dc.title Tweet Author Gender Identification. PAN 2016 Task en_US
dc.type Article en_US


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