TweetCric: A Twitter-based Accountability Mechanism for Cricket

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dc.contributor.author Younus, Arjumand
dc.contributor.author Qureshi, M. Atif
dc.contributor.author Aljohani, Naif R.
dc.contributor.author Greene, Derek
dc.contributor.author O'Mahony, Michael P.
dc.date.accessioned 2018-01-11T15:31:33Z
dc.date.available 2018-01-11T15:31:33Z
dc.date.copyright 2017 Springer en
dc.date.issued 2017-06-01
dc.identifier.uri http://hdl.handle.net/10197/9168
dc.description 17th International Conference on Web Engineering (ICWE 2017), Rome, Italy, 5-8 June 2017 en
dc.description.abstract This paper demonstrates a Web service called TweetCric touncover cricket insights from Twitter with the aim of facilitating sportsanalysts and journalists. It essentially arranges crowdsourced Twitterdata about a team in comprehensive visualizations by incorporatingdomain-specic approaches to sentiment analysis. en
dc.description.sponsorship Science Foundation Ireland en
dc.language.iso en en
dc.publisher Sage en
dc.relation.ispartof Web Engineering: 17th International Conference, ICWE 2017, Rome, Italy, June 5-8, 2017, Proceedings en
dc.relation.ispartofseries Lecture Notes in Computer Science book series (volume 10360) en
dc.rights The final publication is available at www.springerlink.com. en
dc.subject Recommender systems en
dc.title TweetCric: A Twitter-based Accountability Mechanism for Cricket en
dc.type Conference Publication en
dc.status Peer reviewed en
dc.identifier.doi 10.1007/978-3-319-60131-1_43
dc.neeo.contributor Younus|Arjumand|aut|
dc.neeo.contributor Qureshi|M. Atif|aut|
dc.neeo.contributor Aljohani|Naif R.|aut|
dc.neeo.contributor Greene|Derek|aut|
dc.neeo.contributor O'Mahony|Michael P.|aut|
dc.date.updated 2017-07-31T09:39:38Z


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