Computing Sentiment Scores of Verb Phrases for Vietnamese

Sentiment analysis is an emerging research field. One of the major tasks of sentiment analysis is building sentiment lexicons and calculating their scores, which is an essential job that provides “material” for all sentiment analysis problems. In this paper, we propose a fuzzy language computation by taking linguistic context into account to provide an effective method for computing the sentiment polarity of verb phrases. The positive results, which come from an experimental period, will provide us with a basis from which to build an effective sentiment analysis system by making use of the contextual valence shifter.