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Evaluation and sociolinguistic analysis of text features for gender and age identification
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM), Department of Computer Science. Lund University, Sweden.ORCID iD: 0000-0002-8998-3618
University of Hertfordshire, UK.
University of Patras, Greece.
2016 (English)In: American Journal of Engineering and Applied Sciences, ISSN 1941-7020, E-ISSN 1941-7039, Vol. 9, no 4, p. 868-876Article in journal (Refereed) Published
Abstract [en]

The paper presents an interdisciplinary study in the field of automatic gender and age identification, under the scope of sociolinguistic knowledge on gendered and age linguistic choices that social media users make. The authors investigated and gathered standard and novel text features used in text mining approaches on the author’s demographic information and profiling and they examined their efficacy in gender and age detection tasks on a corpus consisted of social media texts. An analysis of the most informative features is attempted according to the nature of each feature and the information derived after the characteristics’ score of importance is discussed. © 2016 Vasiliki Simaki, Iosif Mporas and Vasileios Megalooikonomou.

Place, publisher, year, edition, pages
Science Publications , 2016. Vol. 9, no 4, p. 868-876
Keywords [en]
Age identification, Feature ranking, Gender detection, ReliefF algorithm, Sociolinguistics, Text mining
National Category
General Language Studies and Linguistics Information Systems, Social aspects
Research subject
Computer Science, Information and software visualization
Identifiers
URN: urn:nbn:se:lnu:diva-87446DOI: 10.3844/ajeassp.2016.868.876Scopus ID: 2-s2.0-85008701961OAI: oai:DiVA.org:lnu-87446DiVA, id: diva2:1341685
Note

Export Date: 10 May 2017; Article; Correspondence Address: Simaki, V.; Centre for Languages and Literature, Lund UniversitySweden; email: vasiliki.simaki@englund.lu.se

Available from: 2019-08-09 Created: 2019-08-09 Last updated: 2019-09-04Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf