Abstract
Users continuously ask questions and seek answers in social media platforms such as Twitter. In this demo, we present QweetFinder, a Web-based search engine that facilitates finding question tweets (Qweets) in Twitter. QweetFinder listens to Twitter live stream and continuously identifies and indexes tweets that are answer-seeking. QweetFinder also allows users to save queries of long-term interest and pushes real-time qweet matches of saved queries to them via e-mail.
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Notes
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A prototype of QweetFinder can be found at www.qweetfinder.com.
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Arabic phrases are available here: http://bit.ly/2itZDe9.
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Version 3.6.5.
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- 6.
References
Hasanain, M., Elsayed, T., Magdy, W.: Identification of answer-seeking questions in Arabic microblogs. In: Proceedings of CIKM 2014 (2014)
Herrera, J.M., Parra, D., Poblete, B.: Retrieving relevant conversations for Q&A on Twitter. In: Proceedings of SPS 2015, Co-located at SIGIR 2015 (2015)
Jansen, B.J., Zhang, M., Sobel, K., Chowdury, A.: Twitter power: tweets as electronic word of mouth. JASIST 60(11), 2169–2188 (2009)
Oeldorf-Hirsch, A., Hecht, B., Morris, M.R., Teevan, J., Gergle, D.: To search or to ask: the routing of information needs between traditional search engines and social networks. In: Proceedings of CSCW 2014 (2014)
Srba, I., Bielikova, M.: A comprehensive survey and classification of approaches for community question answering. ACM Trans. Web 10(3), 18:1–18:63 (2016)
Suwaileh, R., Hasanain, M., Elsayed, T.: Light-weight, conservative, yet effective: scalable real-time tweet summarization. In: TREC 2016 (2016)
Zhao, Z., Mei, Q.: Questions about questions: an empirical analysis of information needs on Twitter. In: Proceedings of WWW 2013 (2013)
Acknowledgments
This work was made possible by NPRP grant# NPRP 6-1377-1-257 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
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Albahem, A., Hasanain, M., Torki, M., Elsayed, T. (2017). QweetFinder: Real-Time Finding and Filtering of Question Tweets. In: Jose, J., et al. Advances in Information Retrieval. ECIR 2017. Lecture Notes in Computer Science(), vol 10193. Springer, Cham. https://doi.org/10.1007/978-3-319-56608-5_79
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DOI: https://doi.org/10.1007/978-3-319-56608-5_79
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