@inproceedings{ccc5a92e064b40bd89fc89e85cd19ded,
title = "QweetFinder: Real-time finding and filtering of question tweets",
abstract = "Users continuously ask questions and seek answers in social media platforms such as Twitter. In this demo, we present Qweet-Finder, 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. Qweet-Finder also allows users to save queries of long-term interest and pushes real-time qweet matches of saved queries to them via e-mail.",
author = "Ameer Albahem and Maram Hasanain and Marwan Torki and Tamer Elsayed",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 39th European Conference on Information Retrieval, ECIR 2017 ; Conference date: 08-04-2017 Through 13-04-2017",
year = "2017",
doi = "10.1007/978-3-319-56608-5_79",
language = "English",
isbn = "9783319566078",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "766--769",
editor = "Claudia Hauff and Jose, {Joemon M.} and Dyaa Albakour and Altingovde, {Ismail Sengor} and John Tait and Dawei Song and Stuart Watt",
booktitle = "Advances in Information Retrieval - 39th European Conference on IR Research, ECIR 2017, Proceedings",
address = "Germany",
}