Chapter 1

: Introduction 1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter 2

: Literature Review 2.1 Overview of Music Emotion Recognition
2.2 Importance of Emotion Recognition in Music
2.3 Existing Techniques in Music Emotion Recognition
2.4 Applications of Machine Learning in Music Analysis
2.5 Challenges in Music Emotion Recognition
2.6 Role of Data Collection in Music Emotion Analysis
2.7 Evaluation Metrics for Emotion Recognition Systems
2.8 Trends and Future Directions in Music Emotion Recognition
2.9 Comparative Analysis of Emotion Recognition Models
2.10 Summary of Literature Review

Chapter 3

: Research Methodology 3.1 Research Design
3.2 Data Collection Methods
3.3 Data Preprocessing Techniques
3.4 Feature Extraction and Selection
3.5 Machine Learning Algorithms Selection
3.6 Model Training and Evaluation
3.7 Performance Metrics
3.8 Ethical Considerations in Research

Chapter 4

: Discussion of Findings 4.1 Overview of Data Analysis Results
4.2 Interpretation of Results
4.3 Comparison with Existing Literature
4.4 Implications of Findings
4.5 Limitations of the Study
4.6 Recommendations for Future Research

Chapter 5

: Conclusion and Summary 5.1 Summary of Findings
5.2 Conclusion
5.3 Contributions to the Field
5.4 Practical Implications
5.5 Recommendations for Practitioners
5.6 Recommendations for Future Research