tailieunhanh - Báo cáo khoa học: "Sentiment Learning on Product Reviews via Sentiment Ontology Tree"

Existing works on sentiment analysis on product reviews suffer from the following limitations: (1) The knowledge of hierarchical relationships of products attributes is not fully utilized. (2) Reviews or sentences mentioning several attributes associated with complicated sentiments are not dealt with very well. In this paper, we propose a novel HL-SOT approach to labeling a product’s attributes and their associated sentiments in product reviews by a Hierarchical Learning (HL) process with a defined Sentiment Ontology Tree (SOT). . | Sentiment Learning on Product Reviews via Sentiment Ontology Tree Wei Wei Department of Computer and Information Science Norwegian University of Science and Technology wwei@ Jon Atle Gulla Department of Computer and Information Science Norwegian University of Science and Technology jag@ Abstract Existing works on sentiment analysis on product reviews suffer from the following limitations 1 The knowledge of hierarchical relationships of products attributes is not fully utilized. 2 Reviews or sentences mentioning several attributes associated with complicated sentiments are not dealt with very well. In this paper we propose a novel HL-SOT approach to labeling a product s attributes and their associated sentiments in product reviews by a Hierarchical Learning HL process with a defined Sentiment Ontology Tree SOT . The empirical analysis against a human-labeled data set demonstrates promising and reasonable performance of the proposed HL-SOT approach. While this paper is mainly on sentiment analysis on reviews of one product our proposed HL-SOT approach is easily generalized to labeling a mix of reviews of more than one products. 1 Introduction As the internet reaches almost every corner of this world more and more people write reviews and share opinions on the World Wide Web. The usergenerated opinion-rich reviews will not only help other users make better judgements but they are also useful resources for manufacturers of products to keep track and manage customer opinions. However as the number of product reviews grows it becomes difficult for a user to manually learn the panorama of an interesting topic from existing online information. Faced with this problem research works . Hu and Liu 2004 Liu et al. 2005 Lu et al. 2009 of sentiment analysis on product reviews were proposed and have become a popular research topic at the crossroads of information retrieval and computational linguistics. Carrying out sentiment analysis on product reviews .

• Báo cáo khoa học
• Sentiment Learning
• Product Reviews
• Sentiment Ontology Tree
• báo cáo khoa học
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• Sentiment analysis
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• Sentiment Classification
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