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dc.contributor.authorMporas, Iosif
dc.date.accessioned2017-06-29T13:08:39Z
dc.date.available2017-06-29T13:08:39Z
dc.date.issued2017-01-02
dc.identifier.citationMporas , I 2017 , ' Sociolinguistic Features for Author Gender Identification: From Qualitative Evidence to Quantitative Analysis ' , Journal of Quantitative Linguistics , vol. 24 , no. 1 , pp. 65-84 . https://doi.org/10.1080/09296174.2016.1226430
dc.identifier.issn0929-6174
dc.identifier.urihttp://hdl.handle.net/2299/18672
dc.descriptionThis is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Quantitative Linguistics on 7 October 2016, available online: http://www.tandfonline.com/10.1080/09296174.2016.1226430. The Accepted Manuscript is under embargo. Embargo end date: 7 April 2018.
dc.description.abstractTheoretical and empirical studies prove the strong relationship between social factors and the individual linguistic attitudes. Different social categories, such as gender, age, education, profession and social status, are strongly related with the linguistic diversity of people’s everyday spoken and written interaction. In this paper, sociolinguistic studies addressed to gender differentiation are overviewed in order to identify how various linguistic characteristics differ between women and men. Thereafter, it is examined if and how these qualitative features can become quantitative metrics for the task of gender identification from texts on web blogs. The evaluation results showed that the “syntactic complexity”, the “tag questions”, the “period length”, the “adjectives” and the “vocabulary richness” characteristics seem to be significantly distinctive with respect to the author’s gender.en
dc.format.extent938698
dc.language.isoeng
dc.relation.ispartofJournal of Quantitative Linguistics
dc.subjectSociolinguistics
dc.subjectgender identification
dc.subjectt-test
dc.subjectstatistical analysis
dc.titleSociolinguistic Features for Author Gender Identification: From Qualitative Evidence to Quantitative Analysisen
dc.contributor.institutionSchool of Engineering and Technology
dc.description.statusPeer reviewed
dc.date.embargoedUntil2018-04-07
dc.identifier.urlhttp://www.tandfonline.com/doi/abs/10.1080/09296174.2016.1226430?journalCode=njql20
rioxxterms.versionofrecord10.1080/09296174.2016.1226430
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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