Recognizing Eminent Players from the Indian Premier League Using CNN Model

Abstract

Sentiment analysis is a special technique of detecting the emotion or sentiment of the data. It is the practice of Natural language processing (NLP) plus Machine learning techniques to sort the data based upon emotions. Sentimental analysis's main objective is to collect an enormous amount of data from the source and apply suitable algorithms and techniques to analyze the sentiment of data. Sentimental analysis is advancing in the field of social media simultaneously with the progression of Artificial Intelligence. Cricket is a distinctive sport that is popular in most countries around the world. The Indian premier league (IPL) is a cricket game that is confronted by eight teams from eight Indian cities. Fan's comments on social media have become the major source for data analysis in the field of sports. Twitter is one of the most well-known social media, has greater than 330 million regular active users. The intention of this paper is to develop a CNN model to determine the famous IPL player by analyzing tweets from Twitter.