Interestingness Calculation for Cricket Summary Generation
Thendra S1, R. Subhashini2, V. Madhan Karky3
1Thendra S, Research Scholar, School of Computing, Sathyabama Institute of Science and Technology, Chennai (TamilNadu), India.
2R. Subhashini, Professor, School of Computing, Sathyabama Institute of Science and Technology, Chennai (TamilNadu), India.
3V. Madhan Karky, Karky Research Foundation, Chennai (TamilNadu), India.
Manuscript received on 20 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 31 August 2019 | PP: 748-749 | Volume-8 Issue-9S2 August 2019 | Retrieval Number: I11540789S219/19©BEIESP DOI: 10.35940/ijitee.I1154.0789S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper analyses the way how to make cricket summary automation more efficient. Thus, from the score card details, by adding various interestingness factors to make the summary more interesting to the user is the solution. That can be achieved by considered both the history of the teams and the current match details and analyzed by the system.
Keywords: Machine Learning, Cricket Summary Automation, Artificial Intelligence, Natural Language Generation, Natural Language Programing.
Scope of the Article: Natural Language Processing