Review based recommender system for business advantage using natural language processing

In this current age where everyone complains about time management issues, the extent to which an individual depends on others recommendation about a particular entity is enormous. Recently, the state-of-the-art recommender systems are on surge which basically intends to predict rating or preference given by a user to an item. This paper presents a Review Based Recommender System for Hotel Recommendations which recommends hotels in particular cities, which enables users to identify the most suitable hotel present in those cities based on users preferences and other users rating about the hotels. The rating of a hotel from previous users is determined by applying Natural Language Processing approach on a Hotel Review Compilation and a hotel-review database is created. This technique can be utilized for business advantage and it can help users identify the best hotels in a particular city in an uncomplicated and informal manner quite easily.