Chan, Kam Tong. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2009. / Includes bibliographical references (leaves [101]-113). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.iv / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Major Topic --- p.1 / Chapter 1.1.1 --- Opinion Mining --- p.1 / Chapter 1.1.2 --- Human Computation --- p.2 / Chapter 1.2 --- Major Work and Contributions --- p.3 / Chapter 1.3 --- Thesis Outline --- p.4 / Chapter 2 --- Literature Review --- p.6 / Chapter 2.1 --- Opinion Mining --- p.6 / Chapter 2.1.1 --- Feature Extraction --- p.6 / Chapter 2.1.2 --- Sentiment Analysis --- p.9 / Chapter 2.2 --- Social Computing --- p.15 / Chapter 2.2.1 --- Social Bookmarking --- p.15 / Chapter 2.2.2 --- Social Games --- p.18 / Chapter 3 --- Feature-Opinion Association for Sentiment Analysis --- p.25 / Chapter 3.1 --- Motivation --- p.25 / Chapter 3.2 --- Problem Definition --- p.27 / Chapter 3.2.1 --- Definitions --- p.27 / Chapter 3.3 --- Closer look at the problem --- p.28 / Chapter 3.3.1 --- Discussion --- p.29 / Chapter 3.4 --- Proposed Approach --- p.29 / Chapter 3.4.1 --- Nearest Opinion Word (DIST) --- p.31 / Chapter 3.4.2 --- Co-Occurrence Frequency (COF) --- p.31 / Chapter 3.4.3 --- Co-Occurrence Ratio (COR) --- p.32 / Chapter 3.4.4 --- Likelihood-Ratio Test (LHR) --- p.32 / Chapter 3.4.5 --- Combined Method --- p.34 / Chapter 3.4.6 --- Feature-Opinion Association Algorithm --- p.35 / Chapter 3.4.7 --- Sentiment Lexicon Expansion --- p.36 / Chapter 3.5 --- Evaluation --- p.37 / Chapter 3.5.1 --- Corpus Data Set --- p.37 / Chapter 3.5.2 --- Test Data set --- p.37 / Chapter 3.5.3 --- Feature-Opinion Association Accuracy --- p.38 / Chapter 3.6 --- Summary --- p.45 / Chapter 4 --- Social Game for Opinion Mining --- p.46 / Chapter 4.1 --- Motivation --- p.46 / Chapter 4.2 --- Social Game Model --- p.47 / Chapter 4.2.1 --- Definitions --- p.48 / Chapter 4.2.2 --- Social Game Problem --- p.51 / Chapter 4.2.3 --- Social Game Flow --- p.51 / Chapter 4.2.4 --- Answer Extraction Procedure --- p.52 / Chapter 4.3 --- Social Game Properties --- p.53 / Chapter 4.3.1 --- Type of Information --- p.53 / Chapter 4.3.2 --- Game Structure --- p.55 / Chapter 4.3.3 --- Verification Method --- p.59 / Chapter 4.3.4 --- Game Mechanism --- p.60 / Chapter 4.3.5 --- Player Requirement --- p.62 / Chapter 4.4 --- Design Guideline --- p.63 / Chapter 4.5 --- Opinion Mining Game Design --- p.65 / Chapter 4.5.1 --- OpinionMatch --- p.65 / Chapter 4.5.2 --- FeatureGuess --- p.68 / Chapter 4.6 --- Summary --- p.71 / Chapter 5 --- Tag Sentiment Analysis for Social Bookmark Recommendation System --- p.72 / Chapter 5.1 --- Motivation --- p.72 / Chapter 5.2 --- Problem Statement --- p.74 / Chapter 5.2.1 --- Social Bookmarking Model --- p.74 / Chapter 5.2.2 --- Social Bookmark Recommendation (SBR) Problem --- p.75 / Chapter 5.3 --- Proposed Approach --- p.75 / Chapter 5.3.1 --- Social Bookmark Recommendation Framework --- p.75 / Chapter 5.3.2 --- Subjective Tag Detection (STD) --- p.77 / Chapter 5.3.3 --- Similarity Matrices --- p.80 / Chapter 5.3.4 --- User-Website matrix: --- p.81 / Chapter 5.3.5 --- User-Tag matrix --- p.81 / Chapter 5.3.6 --- Website-Tag matrix --- p.82 / Chapter 5.4 --- Pearson Correlation Coefficient --- p.82 / Chapter 5.5 --- Social Network-based User Similarity --- p.83 / Chapter 5.6 --- User-oriented Website Ranking --- p.85 / Chapter 5.7 --- Evaluation --- p.87 / Chapter 5.7.1 --- Bookmark Data --- p.87 / Chapter 5.7.2 --- Social Network --- p.87 / Chapter 5.7.3 --- Subjective Tag List --- p.87 / Chapter 5.7.4 --- Subjective Tag Detection --- p.88 / Chapter 5.7.5 --- Bookmark Recommendation Quality --- p.90 / Chapter 5.7.6 --- System Evaluation --- p.91 / Chapter 5.8 --- Summary --- p.93 / Chapter 6 --- Conclusion and Future Work --- p.94 / Chapter A --- List of Symbols and Notations --- p.97 / Chapter B --- List of Publications --- p.100 / Bibliography --- p.101
| Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_326774 |
| Date | January 2009 |
| Contributors | Chan, Kam Tong., Chinese University of Hong Kong Graduate School. Division of Computer Science and Engineering. |
| Source Sets | The Chinese University of Hong Kong |
| Language | English, Chinese |
| Detected Language | English |
| Type | Text, bibliography |
| Format | print, 113 leaves : ill. ; 30 cm. |
| Rights | Use of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
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