Sentiment Analysis System Based on Events Feedback

Abstract Sentiment analysis gained prominence after the popularity of Web 2.0, which provides social platforms on which people share their thoughts, sentiments, views and opinions. These viewpoints are important sources of user-generated data from which knowledge can be retrieved to improve services. Currently, organisations employ sentiment analysis on data retrieved from social networks as a cheaper means of conducting product reviews and evaluations, enabling them to know how their clients feel about their services. Analysis of sentiments are performed on subjective text using differing approaches and algorithms. With the digitalization of the world, the culture once upheld by our ancestors is fading and being lost. Cultural events keep culture and histories alive. Though sentiment analysis is widely used, its power is yet to be harnessed for the promotion of these cultural events and activities. This research proposes the employment of sentiment analysis for cultural event evaluation. The thesis seeks to evaluate the impact sentiment analysis will have on event evaluation with cultural events as our case study. We also propose sentiment architecture for cultural event evaluation and a web tool for performing sentiment analysis on tweets. Keywords: sentiment analysis, event evaluation, social networks