Aspect-based opinion mining from product reviews

作者: Samaneh Moghaddam , Martin Ester

DOI: 10.1145/2348283.2348533

关键词:

摘要: "What other people think" has always been an important piece of information for most us during the decision-making process. Today tend to make their opinions available via Internet. As a result, Web become excellent source consumer opinions. There are now numerous resources containing such opinions, e.g., product reviews forums, discussion groups, and blogs. But, it is really difficult customer read all informed decision on whether purchase product. It also manufacturer keep track manage Also, focusing just user ratings (stars) not sufficient or decisions. Therefore, mining online (opinion mining) emerged as interesting new research direction. Extracting aspects corresponding challenge in opinion mining. An aspect attribute component product, e.g. 'zoom' digital camera. A rating intended interpretation satisfaction terms numerical values. Reviewers usually express by set sentiments, 'great zoom'. In this tutorial we cover with focus aspect-based This problem key task area attracted lot researchers retrieval community recently. Several related tasks can benefit from results therefore considered fundamental problem. covers only general tasks, but state-of-the-art methods, challenges, applications, future directions

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