TweetCric: A Twitter-based Accountability Mechanism for Cricket
|Title:||TweetCric: A Twitter-based Accountability Mechanism for Cricket||Authors:||Younus, Arjumand
Qureshi, M. Atif
Aljohani, Naif R.
O'Mahony, Michael P.
|Permanent link:||http://hdl.handle.net/10197/9168||Date:||1-Jun-2017||Online since:||2018-01-11T15:31:33Z||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.||Funding Details:||Science Foundation Ireland||Type of material:||Conference Publication||Publisher:||Sage||Series/Report no.:||Lecture Notes in Computer Science book series (volume 10360)||Copyright (published version):||2017 Springer||Keywords:||Recommender systems||DOI:||10.1007/978-3-319-60131-1_43||Language:||en||Status of Item:||Peer reviewed||Is part of:||Web Engineering: 17th International Conference, ICWE 2017, Rome, Italy, June 5-8, 2017, Proceedings||Conference Details:||17th International Conference on Web Engineering (ICWE 2017), Rome, Italy, 5-8 June 2017|
|Appears in Collections:||Insight Research Collection|
Show full item record
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.