Sentiment learning on product reviews via sentiment ontology tree

{{Summary This would enable searching for particular attributes in reviews.
 * title=Sentiment learning on product reviews via sentiment ontology tree
 * authors=Wei Wei and Jon Atle Gulla
 * url=http://dl.acm.org/citation.cfm?id1858681.1858723
 * tags=ontologies, product reviews, sentiment analysis,
 * 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

Here is a sample sentiment ontology tree:

Their algorithm is based on H-RLS from Incremental algorithms for hierarchical classification. Evaluations are conducted against a human-labeled data set.

Selected references
}}
 * Nicolo` Cesa-Bianchi, Claudio Gentile, and Luca Zani-boni. 2006. Incremental algorithms for hierarchical classification. Journal of Machine Learning Re-search (JMLR), 7:31-54.
 * journal=Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
 * pub_date=2010
 * subject=Computer Science