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Intelligent Database Systems Lab N.Y.U.S. T. I. M. OpinionMiner: A Novel Machine Learning System for Web Opinion Mining and Extraction Presenter : Jiang-Shan Wang Authors : Wei Jin, Hung Hay Ho, Rohini K. Srihari KDD 2009 國國國國國國國國 National Yunlin University of Science and Technology 1

OpinionMiner: A Novel Machine Learning System for Web Opinion Mining and Extraction

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OpinionMiner: A Novel Machine Learning System for Web Opinion Mining and Extraction. Presenter : Jiang-Shan Wang Authors : Wei Jin, Hung Hay Ho, Rohini K. Srihari. 國立雲林科技大學 National Yunlin University of Science and Technology. KDD 2009. Outline. Motivation Objective Methodology - PowerPoint PPT Presentation

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Page 1: OpinionMiner: A Novel Machine Learning System for Web Opinion Mining and Extraction

Intelligent Database Systems Lab

N.Y.U.S.T.

I. M.

OpinionMiner: A Novel Machine Learning System for Web Opinion Mining and Extraction

Presenter : Jiang-Shan Wang

Authors : Wei Jin, Hung Hay Ho, Rohini K. Srihari

KDD 2009

國立雲林科技大學National Yunlin University of Science and Technology

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Page 2: OpinionMiner: A Novel Machine Learning System for Web Opinion Mining and Extraction

Intelligent Database Systems Lab

N.Y.U.S.T.

I. M.Outline

Motivation

Objective

Methodology

Experiments

Conclusion

Comments

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Page 3: OpinionMiner: A Novel Machine Learning System for Web Opinion Mining and Extraction

Intelligent Database Systems Lab

N.Y.U.S.T.

I. M.Motivation

Customers’ opinions and hands-on experiences on products are highly valuable to manufacturers, online advertisers and potential customers.

Unfortunately, reading through all customer reviews is difficult, especially for popular items.

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Page 4: OpinionMiner: A Novel Machine Learning System for Web Opinion Mining and Extraction

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I. M.Objective

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This paper aims to design a system that is capable of extracting, learning and classifying product entities and opinion expressions automatically from product reviews.

Page 5: OpinionMiner: A Novel Machine Learning System for Web Opinion Mining and Extraction

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I. M.Methods - Overview

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Page 6: OpinionMiner: A Novel Machine Learning System for Web Opinion Mining and Extraction

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I. M.Methods – Definition of entity

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Page 7: OpinionMiner: A Novel Machine Learning System for Web Opinion Mining and Extraction

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I. M.Methods – Tag

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Page 8: OpinionMiner: A Novel Machine Learning System for Web Opinion Mining and Extraction

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I. M.Methods – Tag (Con.)

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Example:“I love the ease of transferring the pictures to my computer.

<BG>I</BG><OPINION_POS_EXP>love</OPINION_POS_EXP><BG>the</BG><PROD_FEATBOE>ease</PROD_FEAT-BOE><PROD_FEATMOE>of</PROD_FEAT-MOE><PROD_FEATMOE>transferring</PROD_FEAT-MOE><PROD_FEATMOE>the</PROD_FEATMOE><PROD_FEATEOE>pictures</PROD_FEATEOE><BG>to</BG><BG>my</BG><BG>computer</BG>

<BG>I</BG><OPINION_POS_EXP>love</OPINION_POS_EXP><BG>the</BG><PROD_FEAT>ease of transferring the pictures</PROD_FEAT><BG>to</BG><BG>my</BG><BG>computer</BG>

Page 9: OpinionMiner: A Novel Machine Learning System for Web Opinion Mining and Extraction

Intelligent Database Systems Lab

N.Y.U.S.T.

I. M.Methods – Maximum Likelihood Estimation(MLE)

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Page 10: OpinionMiner: A Novel Machine Learning System for Web Opinion Mining and Extraction

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I. M.Methods – Information Propagation

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Page 11: OpinionMiner: A Novel Machine Learning System for Web Opinion Mining and Extraction

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I. M.Methods – Bootstrapping

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Page 12: OpinionMiner: A Novel Machine Learning System for Web Opinion Mining and Extraction

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I. M.Experiments

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Page 13: OpinionMiner: A Novel Machine Learning System for Web Opinion Mining and Extraction

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I. M.Experiments

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Page 14: OpinionMiner: A Novel Machine Learning System for Web Opinion Mining and Extraction

Intelligent Database Systems Lab

N.Y.U.S.T.

I. M.Conclusion

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The model naturally integrates multiple linguistic features into automatic learning.

The system can predict new potential product and opinion entities.

Complex expressions or infrequently entities can be effectively and efficiently identified.

The bootstrapping approach can handle a large training set.

Page 15: OpinionMiner: A Novel Machine Learning System for Web Opinion Mining and Extraction

Intelligent Database Systems Lab

N.Y.U.S.T.

I. M.Comments

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Advantage Integrating linguistic features into opinion mining.

It is a valuable idea.

Drawback Long opinion will influence the system performance.

It can’t deal with pronoun.

Application Information Retrieval.

E-commerce