Sentiment Learning on Product Reviews via Sentiment Ontology TreeSentiment Learning on Product Reviews via Sentiment Ontology TreeWei, Wei and Gulla, Jon Atle2010
Paper summaryacawikiThis 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.
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.