uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • 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
Author Profiling in the Wild
FOI, Stockholm, Sweden..
FOI, Stockholm, Sweden..
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
FOI, Stockholm, Sweden..
2017 (English)In: 2017 European Intelligence and Security Informatics Conference (EISIC) / [ed] Brynielsson, J, IEEE, 2017, p. 155-158Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we use machine learning for profiling authors of online textual media. We are interested in determining the gender and age of an author. We use two different approaches, one where the features are learned from raw data and one where features are manually extracted. We are interested in understanding how well author profiling works in the wild and therefore we have tested our models on different domains than they are trained on. Our results show that applying models to a different domain then they were trained on significantly decreases the performance of the models. The results show that more efforts need to be put into making models domain independent if techniques such as author profiling should be used operationally, for example by training on many different datasets and by using domain independent features.

Place, publisher, year, edition, pages
IEEE, 2017. p. 155-158
Series
European Intelligence and Security Informatics Conference, ISSN 2572-3723
Keywords [en]
author profiling, gender, age
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:uu:diva-351177DOI: 10.1109/EISIC.2017.32ISI: 000425928200024ISBN: 978-1-5386-2385-5 (electronic)OAI: oai:DiVA.org:uu-351177DiVA, id: diva2:1209825
Conference
European Intelligence and Security Informatics Conference (EISIC), SEP 11-13, 2017, Athens, GREECE
Available from: 2018-05-24 Created: 2018-05-24 Last updated: 2018-05-24Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Shrestha, Amendra

Search in DiVA

By author/editor
Shrestha, Amendra
By organisation
Computer Systems
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 2 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • 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