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Clustering Chinese Product Features with Multilevel Similarity
[chapter]
2015
Lecture Notes in Computer Science
This paper presents an unsupervised hierarchical clustering approach for grouping co-referred features in Chinese product reviews. To handle different levels of connections between co-referred product features, we consider three similarity measures, namely the literal similarity, the word embedding-based semantic similarity and the explanatory evaluation based contextual similarity. We apply our approach to two corpora of product reviews in car and mobilephone domains. We demonstrate that
doi:10.1007/978-3-319-25816-4_28
fatcat:dtxb4q5xmbc4vokvk2o6ixve3u