Sentiment Analysis for Hotel Attributes from Online Reviews

Abstract

Users evaluate hotels by using online reviews depend on their various attributes. In this study, sentiment analysis of the reviews consisting of these attributes has been carried out by using 11 attributes, which determined beforehand. Thanks to the this analysis, user's overall assessment has been determined and summarized from reviews regarding any aspect of the hotels. In order to determine words with similar meaning to represent the 11 attributes, Word2Vec method have been employed. Ad- ditionally; FastText method have been utilized in an effort to disregard possible spelling errors. Since the employed data set is not labeled, VADER, which is a dictionary based method, has been employed in order to perform sentiment analysis. The performance score has been calculated by evaluating the comments in three categories as positive, negative and neutral.