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(LUẬN văn THẠC sĩ) a feature based opinion mining model on product reviews in vietnamese

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(LUẬN văn THẠC sĩ) a feature based opinion mining model on product reviews in vietnamese

VIETNAM NATIONAL UNIVERSITY, HANOI UNIVERSITY OF ENGINEERING AND TECHNOLOGYvu TIEN THANHA FEATURE-BASED OPINION MINING MODEL ON PRODUCT REVIEWS IN VIE

(LUẬN văn THẠC sĩ) a feature based opinion mining model on product reviews in vietnameseETNAMESEMASTER THESIS OF INFORMATION TECHNOLOGYHanoi-2012VIETNAM NATIONAL UNIVERSITY, HANOI UNIVERSITY OF ENGINEERING AND TECHNOLOGYvu TIEN THANHA FEA

TURE-BASED OPINION MINING MODEL ON PRODUCT REVIEWS IN VIETNAMESEMajor : Computer ScienceCode : 60 48 01MASTER THESIS OF INFORMATION TECHNOLOGYSupervis (LUẬN văn THẠC sĩ) a feature based opinion mining model on product reviews in vietnamese

or: Assoc.Prof. Ha QuangThuyHanoi-2012ORIGINALITY STATEMENT■| hereby declare that Illis submission is my own work and to I he Iwst of my knowledge it

(LUẬN văn THẠC sĩ) a feature based opinion mining model on product reviews in vietnamese

contains no materials previously published or written by another person, or substantial proportions of material which have been accepted lor the award

VIETNAM NATIONAL UNIVERSITY, HANOI UNIVERSITY OF ENGINEERING AND TECHNOLOGYvu TIEN THANHA FEATURE-BASED OPINION MINING MODEL ON PRODUCT REVIEWS IN VIE

(LUẬN văn THẠC sĩ) a feature based opinion mining model on product reviews in vietnameseowledgement is made in the thesis. Any contribution made to the research by others, with whom I have worked at UET/Coltcch or elsewhere, is explicitly

acknowledged in the thesis. I also declare that the intellectual content of this thesis is the product of my own work, except to the extent that assi (LUẬN văn THẠC sĩ) a feature based opinion mining model on product reviews in vietnamese

stance from others in the project’s design and conception or in style, presentation and linguistic expression is acknowledged.’Hanoi, November 25**, 2

(LUẬN văn THẠC sĩ) a feature based opinion mining model on product reviews in vietnamese

012Signed...........................................1iiiiiABSTRACTFeature-baaed opinion mining and summarizing (FOMS) of reviews is a very interesting

VIETNAM NATIONAL UNIVERSITY, HANOI UNIVERSITY OF ENGINEERING AND TECHNOLOGYvu TIEN THANHA FEATURE-BASED OPINION MINING MODEL ON PRODUCT REVIEWS IN VIE

(LUẬN văn THẠC sĩ) a feature based opinion mining model on product reviews in vietnameseical forums where people can review or express their opinions on the products which they have used. /Is a result, the number of reviews has been incre

asing rapidly to hundreds or even thousands for a hot-product in recent years. Not only is it difficult, for the customer to read in order to make a d (LUẬN văn THẠC sĩ) a feature based opinion mining model on product reviews in vietnamese

ecision whether to buy product but hard for the producer to handle, customer opinions to improve their products as well, ỉn this thesis, we describe a

(LUẬN văn THẠC sĩ) a feature based opinion mining model on product reviews in vietnamese

Feature-based opinion mining and summarizing model on Vietnamese product reviews. Our model performs four following steps:(l)Piv-processing the input

VIETNAM NATIONAL UNIVERSITY, HANOI UNIVERSITY OF ENGINEERING AND TECHNOLOGYvu TIEN THANHA FEATURE-BASED OPINION MINING MODEL ON PRODUCT REVIEWS IN VIE

(LUẬN văn THẠC sĩ) a feature based opinion mining model on product reviews in vietnameseamese syntax rules, identifying implicit product features by using relationships with opinion words,and automatically grouping synonym product feature

s by combining HAC clustering method and semi-supervised SVM-kNN classification method: (3) identifying opinion sentences in tach review and deciding (LUẬN văn THẠC sĩ) a feature based opinion mining model on product reviews in vietnamese

whether each opinion sentence is positive, negative or neutral by using a VictSenti Word Net extended from an initial SenliWordNet 3.(1: (4) summarizi

(LUẬN văn THẠC sĩ) a feature based opinion mining model on product reviews in vietnamese

ng the results which is different from the traditional text, summarization because we only focus on product-features on which the customers reviewed a

VIETNAM NATIONAL UNIVERSITY, HANOI UNIVERSITY OF ENGINEERING AND TECHNOLOGYvu TIEN THANHA FEATURE-BASED OPINION MINING MODEL ON PRODUCT REVIEWS IN VIE

(LUẬN văn THẠC sĩ) a feature based opinion mining model on product reviews in vietnamesectiveness of the model.Publications:*I Inyen-I tang Pham, l ien-Thanh Vn. Mai-Vu Iran and Quang-Thuy Ila. A Solution for Grouping Vietnamese Synonym F

eature Wonts ill Product Reviews. Ill Proceedings of the 6lh international conference on Asia-Pacific Services Computing (APSCC 2011).*Quang-Thuy Ila, (LUẬN văn THẠC sĩ) a feature based opinion mining model on product reviews in vietnamese

Tien Thanh Vu, Huven-Trang Pham and Cong-To Lun. An Upgrading Feature-based Opinion Mining Model on Vietnamese Product Reviews. In Proceedings of the

(LUẬN văn THẠC sĩ) a feature based opinion mining model on product reviews in vietnamese

1th international conference on Actii.v media technology (AMT 2011), pp. 173-1X5.*'lìen-Thanh Vti. lluyen-Trang Pham, Cong-To Lun and Qnang-Thny Ha.

VIETNAM NATIONAL UNIVERSITY, HANOI UNIVERSITY OF ENGINEERING AND TECHNOLOGYvu TIEN THANHA FEATURE-BASED OPINION MINING MODEL ON PRODUCT REVIEWS IN VIE

(LUẬN văn THẠC sĩ) a feature based opinion mining model on product reviews in vietnamese3-33.ACKNOWLEDGEMENTSHirst and foremost. I would like ro express my deepest gratitude to my supervisor, Assoc.Prof. Ila Quang Thuy, for his patient gu

idance and continuous support throughout the years. He always appears when I need help, and responds to queries so helpfully anti promptly. 1 would li (LUẬN văn THẠC sĩ) a feature based opinion mining model on product reviews in vietnamese

ke to give my honest appreciation to my colleagues at t he Knowledge and Technology laboratory for their great supjjort. I also would like to thank my

(LUẬN văn THẠC sĩ) a feature based opinion mining model on product reviews in vietnamese

friend, Nguyen Quoc Dat, for his kindly help. I sincerely acknowledge the Vietnam National University, Hanoi, NAFOSTED Vietnam and especially, QC.10.

VIETNAM NATIONAL UNIVERSITY, HANOI UNIVERSITY OF ENGINEERING AND TECHNOLOGYvu TIEN THANHA FEATURE-BASED OPINION MINING MODEL ON PRODUCT REVIEWS IN VIE

(LUẬN văn THẠC sĩ) a feature based opinion mining model on product reviews in vietnameselove of my parents and my wife. T hank you!iv

VIETNAM NATIONAL UNIVERSITY, HANOI UNIVERSITY OF ENGINEERING AND TECHNOLOGYvu TIEN THANHA FEATURE-BASED OPINION MINING MODEL ON PRODUCT REVIEWS IN VIE

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