Co-Extracting Opinions from Online Reviews

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Extracting Product Features and Opinions from Reviews

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Consumers have to often wade through a large number of on-line reviews in order to make an informed product choice. We introduce OPINE, an unsupervised, high-precision information extraction system which mines product reviews in order to build a model of product features and their evaluation by reviewers.

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Extracting Opinion Targets and Opinion Words from Online Reviews with Graph Co-ranking

Extracting opinion targets and opinion words from online reviews are two fundamental tasks in opinion mining. This paper proposes a novel approach to collectively extract them with graph coranking. First, compared to previous methods which solely employed opinion relations among words, our method constructs a heterogeneous graph to model two types of relations, including semantic relations and ...

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ژورنال

عنوان ژورنال: International Journal of Computer Applications Technology and Research

سال: 2016

ISSN: 2319-8656

DOI: 10.7753/ijcatr0502.1011