GronUP: Groningen User Profiling: Notebook for PAN at CLEF 2016

Mart Busger op Vollenbroek, Talvany Carlotto, Tim Kreutz, Masha Medvedeva, Chris Pool, Johannes Bjerva, Hessel Haagsma, Malvina Nissim

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    11 Citations (Scopus)

    Abstract

    We trained an SVM model on tweets to perform user profiling, in terms of gender and age, on non-Twitter social media data. The system exploits features that we deemed appropriate to profile authors on social media, and that do not characterise too closely the specific usage of Twitter. Our system works on English, Dutch, and Spanish data without any language-specific tuning of features or parameters. Results on the cross-validated training set seem to indicate that features contribute rather equally to the model’s performance.
    Original languageEnglish
    Title of host publicationWorking Notes of CLEF 2016
    EditorsKrisztian Balog, Linda Cappellato, Nicola Ferro, Craig Macdonald
    Pages846-857
    Publication statusPublished - Sep-2016
    EventConference and Labs of the Evaluation forum (CLEF) - Evora, Portugal
    Duration: 5-Sep-20168-Sep-2016

    Publication series

    NameCEUR
    PublisherWorkshop Proceedings
    Volume1609
    ISSN (Print)1613-0073

    Conference

    ConferenceConference and Labs of the Evaluation forum (CLEF)
    CountryPortugal
    CityEvora
    Period05/09/201608/09/2016

    Cite this