声明
1. Chapter 1 Introduction
1.1 Background
1.2 Sentiment Analysis
1.3 Motivation
1.4 Contribution
1.5 Thesis Organization
2. Chapter 2 Literature Review
2.1 Social Media and Twitter
2.2 Text Mining
2.3 Natural Language Processing \(NLP\)
2.4 Sentiment Analysis and Sentiment Classification
2.5 Machine Learning Classifier Algorithms and
2.6 Summary
3. Chapter 3 Proposed Approach
3.1 Problem Statement
3.2 Sentiment Analysis of Country Status Check \(SACSC\) Approach
3.3 SACSC Approach Process Steps
3.4 Summary
4. Chapter 4 Experiments and Results
4.1 Data Collection
4.2 Preprocessing
4.3 Train Classifier
4.4 Feature Extraction
4.5 Sentiment Classifier Result
4.6 Measuring algorithms Effectiveness
4.7 Summary
Chapter 5 Conclusions and Future Works
5.1 Conclusions
5.2 Future Works
List of Figures
List of Tables
致谢
参考文献
Appendices
List of Published Papers
