Opinion mining as extraction of attribute-value relations

Nozomi Kobayashi; Ryu Iida; Kentaro Inui; Yuji Matsumoto

doi:10.1007/11780496_49

Opinion mining as extraction of attribute-value relations

Nozomi Kobayashi, Ryu Iida, Kentaro Inui, Yuji Matsumoto

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (Scopus)

Abstract

This paper addresses the task of extracting opinions from a given document collection. Assuming that an opinion can be represented as a tuple (Subject, Attribute, Value), we propose a computational method to extract such tuples from texts. In this method, the main task is decomposed into (a) the process of extracting Attribute-Value pairs from a given text and (b) the process of judging whether an extracted pair expresses an opinion of the author. We apply machine-learning techniques to both subtasks. We also report on the results of our experiments and discuss future directions.

Original language	English
Title of host publication	New Frontiers in Artificial Intelligence - Joint JSAI 2005 Workshop Post-Proceedings
Publisher	Springer Verlag
Pages	470-481
Number of pages	12
ISBN (Print)	3540354700, 9783540354703
DOIs	https://doi.org/10.1007/11780496_49
Publication status	Published - 2006
Externally published	Yes
Event	Joint JSAI 2005 Workshop on New Frontiers in Artificial Intelligence - Kitakyushu City, Japan Duration: 2005 Jun 13 → 2005 Jun 14

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4012 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	Joint JSAI 2005 Workshop on New Frontiers in Artificial Intelligence
Country/Territory	Japan
City	Kitakyushu City
Period	05/6/13 → 05/6/14

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/11780496_49

Cite this

Kobayashi, N., Iida, R., Inui, K., & Matsumoto, Y. (2006). Opinion mining as extraction of attribute-value relations. In New Frontiers in Artificial Intelligence - Joint JSAI 2005 Workshop Post-Proceedings (pp. 470-481). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4012 LNAI). Springer Verlag. https://doi.org/10.1007/11780496_49

Opinion mining as extraction of attribute-value relations. / Kobayashi, Nozomi; Iida, Ryu; Inui, Kentaro et al.
New Frontiers in Artificial Intelligence - Joint JSAI 2005 Workshop Post-Proceedings. Springer Verlag, 2006. p. 470-481 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4012 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kobayashi, N, Iida, R, Inui, K & Matsumoto, Y 2006, Opinion mining as extraction of attribute-value relations. in New Frontiers in Artificial Intelligence - Joint JSAI 2005 Workshop Post-Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4012 LNAI, Springer Verlag, pp. 470-481, Joint JSAI 2005 Workshop on New Frontiers in Artificial Intelligence, Kitakyushu City, Japan, 05/6/13. https://doi.org/10.1007/11780496_49

Kobayashi N, Iida R, Inui K, Matsumoto Y. Opinion mining as extraction of attribute-value relations. In New Frontiers in Artificial Intelligence - Joint JSAI 2005 Workshop Post-Proceedings. Springer Verlag. 2006. p. 470-481. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11780496_49

Kobayashi, Nozomi ; Iida, Ryu ; Inui, Kentaro et al. / Opinion mining as extraction of attribute-value relations. New Frontiers in Artificial Intelligence - Joint JSAI 2005 Workshop Post-Proceedings. Springer Verlag, 2006. pp. 470-481 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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note = "Funding Information: ★ This work has essentially been carried out within the joint research project “Open Problems on Multiple Context-Free Grammars” funded by the National Institute of Informatics, Tokyo, Japan.; Joint JSAI 2005 Workshop on New Frontiers in Artificial Intelligence ; Conference date: 13-06-2005 Through 14-06-2005",

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AB - This paper addresses the task of extracting opinions from a given document collection. Assuming that an opinion can be represented as a tuple (Subject, Attribute, Value), we propose a computational method to extract such tuples from texts. In this method, the main task is decomposed into (a) the process of extracting Attribute-Value pairs from a given text and (b) the process of judging whether an extracted pair expresses an opinion of the author. We apply machine-learning techniques to both subtasks. We also report on the results of our experiments and discuss future directions.

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Opinion mining as extraction of attribute-value relations

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