Difference between revisions of "Domain-Assisted Product Aspect Hierarchy Generation: Towards Hierarchical Organization of Unstructured Consumer Reviews"
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== Summary == | == Summary == | ||
| − | This [[category::paper]] | + | This [[category::paper]] propose to hierarchically organize consumer reviews according to an aspect hierarchy, so as to transfer the reviews into a useful knowledge structure. This paper develops a domain-assisted approach to generate an aspect hierarchy by integrating domain knowledge and consumer reviews. They use external hierarchies such as Wordnet and Open Directory Project to learn semantic distance between aspects. They use aspect hierarchy to identify implicit aspects. |
== Background == | == Background == | ||
Revision as of 14:44, 29 September 2012
Citation
author = {Jianxing Yu, Zheng-Jun Zha, Meng Wang, Kai Wang, Tat-Seng Chua},
title = {Domain-Assisted Product Aspect Hierarchy Generation: Towards Hierarchical Organization of Unstructured Consumer Reviews},
booktitle = {Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing},
month = {July},
year = {2011},
pages = {140--150},
Online version
Summary
This paper propose to hierarchically organize consumer reviews according to an aspect hierarchy, so as to transfer the reviews into a useful knowledge structure. This paper develops a domain-assisted approach to generate an aspect hierarchy by integrating domain knowledge and consumer reviews. They use external hierarchies such as Wordnet and Open Directory Project to learn semantic distance between aspects. They use aspect hierarchy to identify implicit aspects.
