This paper demonstrates a Web service called TweetCric to uncover cricket insights from Twitter with the aim of facilitating sports analysts and journalists. It essentially arranges crowdsourced Twitter data about a team in comprehensive visualizations by incorporating domain-specific approaches to sentiment analysis.
CITATION STYLE
Younus, A., Qureshi, M. A., Aljohani, N. R., Greene, D., & O’Mahony, M. P. (2017). TweetCric: A twitter-based accountability mechanism for cricket. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10360 LNCS, pp. 559–563). Springer Verlag. https://doi.org/10.1007/978-3-319-60131-1_43
Mendeley helps you to discover research relevant for your work.