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25497 TweetGenie: Development, Evaluation, and Lessons Learned
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Nguyen, Dong-Phuong and Trieschnigg, R.B. and Meder, T. (2014) TweetGenie: Development, Evaluation, and Lessons Learned. In: Proceedings of the 25th International Conference on Computational Linguistics, COLING 2014, 23-29 Aug 2014, Dublin, Ireland. pp. 62-66. Association for Computational Linguistics. ISBN 978-1-941643-27-3

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Official URL: http://anthology.aclweb.org/C/C14/C14-2014.pdf

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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.

Item Type:Conference or Workshop Paper (Full Paper, Other)
Research Group:EWI-HMI: Human Media Interaction
Research Program:CTIT-NICE: Natural Interaction in Computer-mediated Environments
Research Project:FACT: Folktales As Classifiable Texts
Uncontrolled Keywords:twitter, tweetgenie, gender, age, natural language processing
ID Code:25497
Status:Published
Deposited On:26 January 2015
Refereed:Yes
International:Yes
More Information:statisticsmetis

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