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Sentiment Analysis is the area of research that studies people’s opinions, sentiments, evaluations, attitudes and emotions from written text. This has become one of the most active research fields in Natural Language Processing. In recent years, sentiment analysis for Vietnamese text has received a considerable attention. | Công nghệ thông tin Cơ sở toán học cho tin học AN EMPIRICAL STUDY OF VIETNAMESE SENTIMENT ANALYSIS Nguyen Hoang Quan Le Dinh Son Nguyen Quang Uy Abstract Sentiment Analysis is the area of research that studies people s opinions sentiments evaluations attitudes and emotions from written text. This has become one of the most active research fields in Natural Language Processing. In recent years sentiment analysis for Vietnamese text has received a considerable attention. In the fourth international workshop on Vietnamese language and speech processing there was a competition between various researchers in solving this problem based on a benchmark dataset provided by the workshop committee. However each researcher address the problem with different methods. In this paper we present a comparison of a large number of machine learning algorithms for tackling this problem. The results of the experiments help to gain insight into the ability of various machine learning algorithms when used for Vietnamese sentiment analysis. Keywords Sentiment analysis Opinion mining Machine learning. 1. INTRODUCTION Sentiment analysis is the task of determining user s opinion about products movies events or policies etc. In this topic sentiment classification is one of the most important task aiming to classify opinion of a sentence or document into several categories such as positive negative and neutral. Predicting user s sentiment is extremely important because the user s opinion becomes more and more value. The public interest is the main factor that affects the profit of products like movies books etc. Subsequently this problem is the interest of both researchers and companies. For a comprehensive survey of sentiment analysis and opinion mining readers are refered to 1 . The major tasks in sentiment analysis include Subjective classification aims to classify subjectivity and objectivity documents. Polarity sentiment classification aims to classify an subjectivity document into one of
