COMPARATIVE ANALYSIS OF UBER AND CAREEM SERVICES BASED ON THEIR CUSTOMER REVIEWS USING OPINION MINING

Abstract

Opinion mining is extracting opinions and feelings from a contextual information that defines certain things, products or services around the globe. Sentiment analysis on the extracted data and information about the people’s sentiments and feeling about that specific product or service. Our goal was to mine the opinions from social media and perform sentiment analysis on the widespread services of well-known taxi companies namely as Uber and Careem. Uber and Careem came and conquered their audience in no time. They had remarkable services to pick up their customer from their current places in no time and drop them off to their desired destination in a respectable and ensure that they had a safe and pleasant journey all the way long. Applying different algorithms and methods on the refined data set collected from the social media gave us the opportunity to analysis the accuracy of the applied algorithms and to know which company served their customers better