Mô hình khai phá quan điểm dựa trên đặc trưng
các đánh giá sản phẩm trong tiếng Việt Vũ Tiến Thành Trường Đại học Công nghệ
Chuyên ngành: Khoa học máy tính; Mã số: 60 48 01
Người hướng dẫn: PGS.TS. Hà Quang Thụy
Năm bảo vệ: 2012
Abstract: In this thesis, we present an approach to build an opinion mining
system of customer reviews according to product features based on Vietnamese
syntax rules and VietSentiWordNet dictionary in four phases: (1)Pre-processing;
(2)Extracting explicit/implicit product features and opinion-words,and grouping
synonym product features; (3)Identifying orientation of opinion; and
(4)Summarizing the results. With three main contributions as following: Firstly,
in the phase 1, we build a Vietnamese accented system combined N-gram
statistic model and Hidden Markov model(HMM) for the purpose ofconverting a
sentence without accents into a Vietnamese accented sentence. Secondly, in the
phase 2, we construct a mapping dictionary to identify implicit features by
mapping those ones to corresponding opinion words; and we proposed a method
of using SVM-kNN semi-supervised learning along with HAC clustering method
generating training set for SVM-kNN to group synonym features; after that, co-
reference was resolved by using some Vietnamese rules.

Keywords: Khoa học máy tính; Khai phá dữ liệu; Mô hình dữ liệu
Table of Contents

4.1.2 Experimental Data . . . . . . . . . . . . . . . . . . . . . . . . 29
4.2 Product Features Extraction Evaluation . . . . . . . . . . . . . . . . 30
4.3 Opinion Words Extraction Evaluation . . . . . . . . . . . . . . . . . . 31
4.4 The Whole System Evaluation . . . . . . . . . . . . . . . . . . . . . . 32
5 Conclusion 36
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