research-article

Rule-based opinion target and aspect extraction to acquire affective knowledge

Authors:

Albert Weichselbraun,

Arno ScharlAuthors Info & Claims

WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web

Pages 557 - 564

https://doi.org/10.1145/2487788.2487994

Published: 13 May 2013 Publication History

Abstract

Opinion holder and opinion target extraction are among the most popular and challenging problems tackled by opinion mining researchers, recognizing the significant business value of such components and their importance for applications such as media monitoring and Web intelligence. This paper describes an approach that combines opinion target extraction with aspect extraction using syntactic patterns. It expands previous work limited by sentence boundaries and includes a heuristic for anaphora resolution to identify targets across sentences. Furthermore, it demonstrates the application of concepts known from research on open information extraction to the identification of relevant opinion aspects. Qualitative analyses performed on a corpus of 100,000 Amazon product reviews show that the approach is promising. The extracted opinion targets and aspects are useful for enriching common knowledge resources and opinion mining ontologies, and support practitioners and researchers to identify opinions in document collections.

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Cited By

Ullah AKhan SNawi N(2022)Review on sentiment analysis for text classification techniques from 2010 to 2021Multimedia Tools and Applications10.1007/s11042-022-14112-382:6(8137-8193)Online publication date: 1-Dec-2022
https://doi.org/10.1007/s11042-022-14112-3
Singh RSachan MPatel R(2021)360 degree view of cross-domain opinion classification: a surveyArtificial Intelligence Review10.1007/s10462-020-09884-954:2(1385-1506)Online publication date: 1-Feb-2021
https://dl.acm.org/doi/10.1007/s10462-020-09884-9
Zhang CTian YFan LLi Y(2020)Customized ranking for products through online reviews: a method incorporating prospect theory with an improved VIKORApplied Intelligence10.1007/s10489-019-01577-350:6(1725-1744)Online publication date: 1-Jun-2020
https://dl.acm.org/doi/10.1007/s10489-019-01577-3
Show More Cited By

Index Terms

Rule-based opinion target and aspect extraction to acquire affective knowledge
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Language resources
2. Information systems
  1. Information retrieval
    1. Document representation
      1. Content analysis and feature selection

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cover image ACM Other conferences

WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web

May 2013

1636 pages

ISBN:9781450320382

DOI:10.1145/2487788

General Chairs:
Daniel Schwabe
PUC-Rio - Brazil
,
Virgílio Almeida
UFMG - Brazil
,
Hartmut Glaser
CGI.br - Brazil
,
Program Chairs:
Ricardo Baeza-Yates
Yahoo! Labs - Spain & Chile
,
Sue Moon
KAIST - South Korea

Copyright © 2013 Copyright is held by the International World Wide Web Conference Committee (IW3C2).

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NICBR: Nucleo de Informatcao e Coordenacao do Ponto BR
CGIBR: Comite Gestor da Internet no Brazil

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 May 2013

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WWW '13: 22nd International World Wide Web Conference

May 13 - 17, 2013

Rio de Janeiro, Brazil

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WWW '13 Companion Paper Acceptance Rate 831 of 1,250 submissions, 66%;

Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

Ullah AKhan SNawi N(2022)Review on sentiment analysis for text classification techniques from 2010 to 2021Multimedia Tools and Applications10.1007/s11042-022-14112-382:6(8137-8193)Online publication date: 1-Dec-2022
https://doi.org/10.1007/s11042-022-14112-3
Singh RSachan MPatel R(2021)360 degree view of cross-domain opinion classification: a surveyArtificial Intelligence Review10.1007/s10462-020-09884-954:2(1385-1506)Online publication date: 1-Feb-2021
https://dl.acm.org/doi/10.1007/s10462-020-09884-9
Zhang CTian YFan LLi Y(2020)Customized ranking for products through online reviews: a method incorporating prospect theory with an improved VIKORApplied Intelligence10.1007/s10489-019-01577-350:6(1725-1744)Online publication date: 1-Jun-2020
https://dl.acm.org/doi/10.1007/s10489-019-01577-3
Wang YHe WJiang MHuang YQiu P(2019)CHOpinionMiner: An unsupervised system for Chinese opinion target extractionConcurrency and Computation: Practice and Experience10.1002/cpe.558232:7Online publication date: 29-Nov-2019
https://doi.org/10.1002/cpe.5582
Weichselbraun AGindl SFischer FVakulenko SScharl A(2017)Aspect-Based Extraction and Analysis of Affective Knowledge from Social Media StreamsIEEE Intelligent Systems10.1109/MIS.2017.5732:3(80-88)Online publication date: 1-May-2017
https://dl.acm.org/doi/10.1109/MIS.2017.57
Kang YZhou L(2017)RubEInformation and Management10.1016/j.im.2016.05.00754:2(166-176)Online publication date: 1-Mar-2017
https://dl.acm.org/doi/10.1016/j.im.2016.05.007
Vakulenko SWeichselbraun AScharl A(2016)Detection of Valid Sentiment-Target Pairs in Online Product Reviews and News Media Articles2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI)10.1109/WI.2016.0024(97-104)Online publication date: Oct-2016
https://doi.org/10.1109/WI.2016.0024
Gao KLi DLi S(2015)Modeling and extracting evaluation objects on social media short content2015 7th International Conference on Modelling, Identification and Control (ICMIC)10.1109/ICMIC.2015.7409471(1-6)Online publication date: Dec-2015
https://doi.org/10.1109/ICMIC.2015.7409471
Maharani WWidyantoro DKhodra M(2015)Learning-based aspect identification in customer review products2015 International Conference on Electrical Engineering and Informatics (ICEEI)10.1109/ICEEI.2015.7352472(71-76)Online publication date: Aug-2015
https://doi.org/10.1109/ICEEI.2015.7352472
Wawer A(2015)Towards Domain-Independent Opinion Target ExtractionProceedings of the 2015 IEEE International Conference on Data Mining Workshop (ICDMW)10.1109/ICDMW.2015.255(1326-1331)Online publication date: 14-Nov-2015
https://dl.acm.org/doi/10.1109/ICDMW.2015.255
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