Tweetgenie: Development, Evaluation, and Lessons Learned

D. Nguyen, D. Trieschnigg, Theo Meder

Research output: Chapter in book/volumeContribution to conference proceedingsScientificpeer-review

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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 languageEnglish
Title of host publicationProceedings of COLING 2014, the 25th International Conference on Computational Linguistics: System Demonstrations
Place of PublicationDublin
PublisherAssociation for Computational Linguistics (ACL)
Number of pages5
Publication statusPublished - 2014


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