Impact Calculation Of The Players Using The Cricket Commentary Corpus

Abstract

This research paper focuses on the use of natural language processing techniques for extracting insights from cricket commentary. This study proposes a framework that considers the commentary text, evaluates each player's performance, and gives value-based scores to define their impacts. This research relies on sentiment analysis, topic modeling, and NER to analyze a large corpus of cricket commentary data and develop a model for calculating the impacts of the players. The findings of this study will be of great interest to sports analysts, coaches, players, and fans of the game. The literature review of this paper covers the existing works on textual analysis and analysis using commentary corpora. This study has the potential to revolutionize player performance evaluation in cricket by identifying "hidden gems" that may have been overlooked based on conventional statistics alone.