Sentiment Analysis on Chinese Hotel Reviews with Doc2Vec and Classifiers

Text data expands over the Internet almost every day, and extracting information effectively from these text data is hard. However these information will play an important role for consumers in making decisions. In this paper, we carry out sentiment analysis on the hotel reviews obtained from websites using Doc2vec tool and machine learning algorithms such as Support Vector Machine, Logistic Regression and Naïve Bayes. The performance of these classification algorithms is evaluated on the precision, recall rate, and F-measure.