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Title Page 2 Dedication 6 Statement 7 Abstract 8 Acknowledgements 10 Contents 12 List of Figures 18 List of Tables 22 1 Introduction 26 1.1 Motivation 29 1.1.1 Sentiment Analysis of Twitter: Gaps and Challenges 30 1.1.2 From Affect Words to Words' Semantics 32 1.2 Research Questions, Hypotheses and Contributions 35 1.3 Thesis Methodology and Outline 41 1.4 Publications 45 Background 48 2 Literature Review 50 2.1 Background 51 2.1.1 Fundamentals 51 2.1.2 A Note on Terminology 58 2.2 Sentiment Analysis of Twitter 60 2.2.1 Traditional Sentiment Analysis Approaches 61 2.2.1.1 The Machine Learning Approach 61 2.2.1.2 The Lexicon-based Approach 76 2.2.1.3 The Hybrid Approach 84 2.2.1.4 Discussion 87 2.3 Semantic Sentiment Analysis 90 2.3.1 Contextual Semantics 90 2.3.2 Conceptual Semantics 95 2.4 Summary and Discussion 103 2.4.1 Discussion 107 Semantic Sentiment Analysis of Twitter 112 3 Contextual Semantics for Sentiment Analysis of Twitter 114 3.1 Introduction 114 3.2 The SentiCircle Representation of Words' Semantics 117 3.2.1 Overview 117 3.2.2 SentiCircle Construction Pipeline 119 3.2.2.1 Term Indexing 120 3.2.2.2 Context Vector Generation 121 3.2.2.3 SentiCircle Generation 122 3.2.

Author
Saif, H.;
Language
EN

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