Twitter Intention Classification Using Bayes Approach for Cricket Test Match Played Between India and South Africa 2015

Abstract

Information retrieval and forecasting in real time is becoming the fastest and most efficient way to obtain useful knowledge of what is happening now, allowing organizations to react quickly when problem appears which help to improve their performance. There is enormous amount of data in the form of tweets. It builds data processing system that creates informative data about the cricket test matches. Using twitter data, the authors find the sentiments or polarity of fans posting tweets related to game. Polarity is given as positive, negative and neutral. The authors also analyze the feelings or emotions of people posting tweets. Emotions are given as anger, disgust, fear, joy, sadness, surprise and unknown. Machine learning algorithm (Bayes) using R technology shows the accuracy when trained with emotion data. KeywoRDS API, Bayes, Cricket, Emotions, Intention, MAE, Polarity, Sentiments, Tweets, Twitter