Text-mining based localisation of player-specific events from a game-log of cricket

TitleText-mining based localisation of player-specific events from a game-log of cricket
Publication TypeJournal Article
Year of Publication2017
AuthorsSandesh, B.J.., and G.. Srinivasa
JournalInternational Journal of Computer Applications in Technology
Volume55
Issue3
Pagination213 - 221
Date Published2017
ISBN Number09528091 (ISSN)
KeywordsData mining, event detection, Hierarchical filtering, localisation, N-gram matching, N-grams, Sports, Sports data, Sports data mining, Text Mining, Visualisation, Visualization
Abstract

Analysis and visualisation of sports data pertaining to a particular player provides an avenue to study the game of a player (or group of players) in detail, to identify strengths and weaknesses to predict the outcome of a match or select players for a fantasy league. In this paper, we propose to detect and localise events (such as shots) specific to a player or a team and present visualisations that are easy to interpret. For this, we use a textual log of the match (or the detailed ball-by-ball commentary) of a game of cicket as input We perform hierarchical n-gram matching to detect events of interest for the player(s) specified and match them with the location (on the field). We propose the disambiguation of action and intention verbs and resolve location through auxiliary information to improve the accuracy of detection and localisation of events. The results obtained on testing the proposed system on multiple game logs demonstrate that the accuracy of detection and localisation is comparable with that of manual detection and localisation. Copyright © 2017 Inderscience Enterprises Ltd.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85022331638&doi=10.1504%2fIJCAT.2017.084768&partnerID=40&md5=81c6e7369c3fb23dbff8829da38ec195
Short TitleInt J Comput Appl Technol