Sentiment Analysis on Tripadvisor Hotel Review using Named Entity Recognition

Sentiment analysis is useful for understanding and grouping emotions including positive and negative in writing using natural language processing techniques. One form of sentiment analysis can be seen from people's reviews of products or services provided by a company. Reviews are excerpts, interpretations, and comments. Review can be interpreted as a form of assessment someone to something. regular review given to a product or service. good and bad reviews, may affect the reputation of the hotel. Good review indicates that the quality of service products must be maintained by the hotel. while the reviews are bad signifies that the quality of the service product must be evaluated and repaired by the hotel. Tripadvisor is a website that focuses on in the tourism sector such as tourist attractions, hotels, and restaurants. everyone can see the service rating a tourist attraction through Tripadvisor. Data hotel visitor reviews found on Tripadvisor, only classified by rating only stars from a scale of 10 to 50. Hotel visitors also provide various reviews to share their experiences during visit the hotel. Like experience dine, stay overnight, swim in the pool, etc. To facilitate the classification process based on review of the visitor's experience, then this research was made. In this research carried out sentiment analysis to distinguish negative reviews and positive using named entity method recognition. In previous research, the accuracy generated from the named entity recognition method reach 90%.