Sentiment extraction aims to extract and group aspect and opinion words from online reviews. Previous works usually extract aspect and opinion words by leveraging association between a single pair of aspect and opinion word, but the structure of aspect and opinion word clusters has not been fully exploited.
\nIn this paper, we investigate the aspect-opinion association structure, and propose a \u201cfirst clustering, then extracting\u201d unsupervised model to leverage properties of the structure for sentiment extraction. For the clustering purpose, we formalise a novel concept syntactic distribution consistency as soft constraint in the framework of posterior regularization; for the extraction purpose, we extract aspect and opinion words based on cluster-cluster association. In comparison to traditional word-word association, we show that cluster-cluster association is a much stronger signal to distinguish aspect (opinion) words from non-aspect (non-opinion) words. Extensive experiments demonstrate the effectiveness of the proposed approach and the advantages against stateof-the-art baselines.<\/p>\n","protected":false},"excerpt":{"rendered":"
Sentiment extraction aims to extract and group aspect and opinion words from online reviews. Previous works usually extract aspect and opinion words by leveraging association between a single pair of aspect and opinion word, but the structure of aspect and opinion word clusters has not been fully exploited. In this paper, we investigate the aspect-opinion […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13556],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-443679","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-artificial-intelligence","msr-locale-en_us"],"msr_publishername":"","msr_edition":"CIKM 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