Sentiment Learning on Product Reviews via Sentiment Ontology Tree Sentiment Learning on Product Reviews via Sentiment Ontology Tree
Paper summary This paper points out that product reviews contain domain-specific knowledge. To capture the hierarchical relationships between product attributes, they introduce a new approach: "hierarchical learning with sentiment ontology tree" (HL-SOT) in order to: 1. identify attributes 2. identify which attributes have sentiment attached to them This would enable searching for particular attributes in reviews. Their algorithm is based on H-RLS from Incremental algorithms for hierarchical classification. Evaluations are conducted against a human-labeled data set.
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Sentiment Learning on Product Reviews via Sentiment Ontology Tree
Wei, Wei and Gulla, Jon Atle
Association for Computational Linguistics - 2010 via Bibsonomy
Keywords: dblp


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