TweetGenie: Development, Evaluation, and Lessons Learned

Dong-Phuong Nguyen, Rudolf Berend Trieschnigg, Theo Meder

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    Abstract

    TweetGenie is an online demo that infers the gender and age of Twitter users based on their tweets. TweetGenie was able to attract thousands of visitors. We collected data by asking feedback from visitors and launching an online game. In this paper, we describe the development of TweetGenie and evaluate the demo based on the received feedback and manual annotation. We also reflect on practical lessons learned from launching a demo for the general public.
    Original languageUndefined
    Title of host publicationProceedings of the 25th International Conference on Computational Linguistics, COLING 2014
    PublisherAssociation for Computational Linguistics (ACL)
    Pages62-66
    Number of pages5
    ISBN (Print)978-1-941643-27-3
    Publication statusPublished - 23 Aug 2014

    Publication series

    Name
    PublisherAssociation for Computational Linguistics

    Keywords

    • EWI-25497
    • tweetgenie
    • Twitter
    • METIS-309771
    • Age
    • Gender
    • IR-94056
    • natural language processing

    Cite this

    Nguyen, D-P., Trieschnigg, R. B., & Meder, T. (2014). TweetGenie: Development, Evaluation, and Lessons Learned. In Proceedings of the 25th International Conference on Computational Linguistics, COLING 2014 (pp. 62-66). Association for Computational Linguistics (ACL).