Sentiment Analysis of Feedback Information in Hospitality Industry
Keywords:
Sentiment Analysis, Opinion Mining, Naive Bayes classifiers, Language models, Features, AnnotationAbstract
Sentiment analysis is the study of opinions, emotions of a person‟s towards events or entities which can enable to rate that event or entity for decision making by the prospective buyers/users. In this research paper I have tried to demonstrate the use of automatic opinion mining/sentiment analysis to rate a hotel and its service‟s based on the guest feedback data. We have used a semantic resource for a feature vector and Naïve Bayes classifier for the review classification after reducing the feature sets for better accuracy and efficiency. Also an improvement in the accuracy of the classification has been observed after the use of bi-gram and tri-gram language model.
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