An upgrading feature-based opinion mining model on vietnamese product reviews
AMT'11 Proceedings of the 7th international conference on Active media technology
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Sentiment analysis is one of the most important tasks in Natural Language Processing. Research in sentiment analysis for Vietnamese is relatively new and most of current work only focus in document level. In this paper, we address this problem at the sentence level and build a rule-based system using the Gate framework. Experimental results on a corpus of computer products reviews are very promising. To the best of our knowledge, this is the first work that analyzes sentiment at sentence level in Vietnamese.