A novel approach to analyze the sentiments of tweets related to TripAdvisor
Piyush Bhardwaj, Suruchi Gautam, Payal Pahwa · Journal of Information and Optimization Sciences · 2018
Sentiment Analysis has become a fascinating research area due to its wide application domain. In this paper, a novel approach for sentiment analysis have been developed for extracting the opinions from a given data source. The proposed approach is applied to one of the biggest service industries in the world: the travel industry. With the application of this approach, an analysis of opinions and sentiments expressed on Twitter about TripAdvisor is done. The analyses is done in statistical package R. This system uses quality parameters positive (POS), negative(NEG), neutral(NEU), JOY, SURPRISE, SADNESS, ANGER, DISGUST and FEAR for opinion and sentiments. A comparison of opinions and sentiments is done for various cities of India for TripAdvisor. With an analyses of these feedback, a judgement is generated for TripAdvisor as a trustworthy company.