Article

Mining comparative sentences and relations

Authors:

Bing LiuAuthors Info & Claims

AAAI'06: proceedings of the 21st national conference on Artificial intelligence - Volume 2

Pages 1331 - 1336

Published: 16 July 2006 Publication History

Abstract

This paper studies a text mining problem, comparative sentence mining (CSM). A comparative sentence expresses an ordering relation between two sets of entities with respect to some common features. For example, the comparative sentence "Canon's optics are better than those of Sony and Nikon" expresses the comparative relation: (better, {optics}, {Canon}, {Sony, Nikon}). Given a set of evaluative texts on the Web, e.g., reviews, forum postings, and news articles, the task of comparative sentence mining is (1) to identify comparative sentences from the texts and (2) to extract comparative relations from the identified comparative sentences. This problem has many applications. For example, a product manufacturer wants to know customer opinions of its products in comparison with those of its competitors. In this paper, we propose two novel techniques based on two new types of sequential rules to perform the tasks. Experimental evaluation has been conducted using different types of evaluative texts from the Web. Results show that our techniques are very promising.

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Cited By

Balog KRadlinski FKaratzoglou ADiaz FShah CSuel TCastells PJones RSakai T(2021)On Interpretation and Measurement of Soft Attributes for RecommendationProceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3404835.3462893(890-899)Online publication date: 11-Jul-2021
https://dl.acm.org/doi/10.1145/3404835.3462893
Schildwächter MBondarenko AZenker JHagen MBiemann CPanchenko AAzzopardi LHalvey MRuthven IJoho HMurdock VQvarfordt P(2019)Answering Comparative QuestionsProceedings of the 2019 Conference on Human Information Interaction and Retrieval10.1145/3295750.3298916(361-365)Online publication date: 8-Mar-2019
https://dl.acm.org/doi/10.1145/3295750.3298916
Danone YKuflik TMokryn OBerkovsky SHijikata YRekimoto JBurnett MBillinghurst MQuigley A(2018)Visualizing Reviews Summaries as a Tool for Restaurants RecommendationProceedings of the 23rd International Conference on Intelligent User Interfaces10.1145/3172944.3172947(607-616)Online publication date: 5-Mar-2018
https://dl.acm.org/doi/10.1145/3172944.3172947
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Mining comparative sentences and relations

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cover image Guide Proceedings

AAAI'06: proceedings of the 21st national conference on Artificial intelligence - Volume 2

July 2006

1981 pages

ISBN:9781577352815

Editor:
Anthony Cohn
University of Leeds

Sponsors

AAAI: American Association for Artificial Intelligence

Publisher

AAAI Press

Publication History

Published: 16 July 2006

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Cited By

Balog KRadlinski FKaratzoglou ADiaz FShah CSuel TCastells PJones RSakai T(2021)On Interpretation and Measurement of Soft Attributes for RecommendationProceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3404835.3462893(890-899)Online publication date: 11-Jul-2021
https://dl.acm.org/doi/10.1145/3404835.3462893
Schildwächter MBondarenko AZenker JHagen MBiemann CPanchenko AAzzopardi LHalvey MRuthven IJoho HMurdock VQvarfordt P(2019)Answering Comparative QuestionsProceedings of the 2019 Conference on Human Information Interaction and Retrieval10.1145/3295750.3298916(361-365)Online publication date: 8-Mar-2019
https://dl.acm.org/doi/10.1145/3295750.3298916
Danone YKuflik TMokryn OBerkovsky SHijikata YRekimoto JBurnett MBillinghurst MQuigley A(2018)Visualizing Reviews Summaries as a Tool for Restaurants RecommendationProceedings of the 23rd International Conference on Intelligent User Interfaces10.1145/3172944.3172947(607-616)Online publication date: 5-Mar-2018
https://dl.acm.org/doi/10.1145/3172944.3172947
Ghosh SAnand KRajanala SReddy ASingh MRanu SGanguly NRamakrishnan RSarawagi SRoy S(2018)Unsupervised stance classification in online debatesProceedings of the ACM India Joint International Conference on Data Science and Management of Data10.1145/3152494.3152497(30-36)Online publication date: 11-Jan-2018
https://dl.acm.org/doi/10.1145/3152494.3152497
Ping QChen C(2018)LitStoryTeller+Scientometrics10.1007/s11192-018-2803-x116:3(1887-1944)Online publication date: 1-Sep-2018
https://dl.acm.org/doi/10.1007/s11192-018-2803-x
Arora JAgrawal SGoyal PPathak SLim EWinslett MSanderson MFu ASun JCulpepper SLo EHo JDonato DAgrawal RZheng YCastillo CSun ATseng VLi C(2017)Extracting Entities of Interest from Comparative Product ReviewsProceedings of the 2017 ACM on Conference on Information and Knowledge Management10.1145/3132847.3133141(1975-1978)Online publication date: 6-Nov-2017
https://dl.acm.org/doi/10.1145/3132847.3133141
Ren XLv YWang KHan Jde Rijke MShokouhi MTomkins AZhang M(2017)Comparative Document Analysis for Large Text CorporaProceedings of the Tenth ACM International Conference on Web Search and Data Mining10.1145/3018661.3018690(325-334)Online publication date: 2-Feb-2017
https://dl.acm.org/doi/10.1145/3018661.3018690
Tkachenko MLauw H(2017)Comparative Relation Generative ModelIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2016.264028129:4(771-783)Online publication date: 1-Apr-2017
https://dl.acm.org/doi/10.1109/TKDE.2016.2640281
Qazi ATamjidyamcholo ARaj RHardaker GStanding C(2017)Assessing consumers' satisfaction and expectations through online opinionsComputers in Human Behavior10.1016/j.chb.2017.05.02575:C(450-460)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1016/j.chb.2017.05.025
Malik MHussain A(2017)Helpfulness of product reviews as a function of discrete positive and negative emotionsComputers in Human Behavior10.1016/j.chb.2017.03.05373:C(290-302)Online publication date: 1-Aug-2017
https://dl.acm.org/doi/10.1016/j.chb.2017.03.053
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