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Blog clustering is an important approach for online public opinion analysis. The traditional clustering methods, usually group blogs by keywords, stories and timeline, which usually ignore opinions and emotions expressed in the blog articles. In this paper, an integrated graph-based model for clustering Chinese blogs by embedded sentiments is proposed. A novel graph-based representation and the corresponding...
Blog clustering is an important approach of web public opinion analysis. In this paper, an integrated graph-based approach for representing and clustering Chinese blogs by embedded sentiment is proposed. Graph-based representation and relevant clustering algorithm are applied. This graph-based blogs representation model considers not only sentiment words but also some structural information. Experimental...
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