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Introduction
Computational text analysis is a rapidly growing field that uses various computational tools and techniques to analyze and interpret text data. In the context of literature, computational text analysis can provide valuable insights into the themes, styles, and patterns present in literary works. This thesis aims to explore the application of computational text analysis in the study of literature, with a focus on analyzing and interpreting literary texts using computational methods.

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
– Overview of computational text analysis
– Applications of computational text analysis in literature
– Previous studies on computational text analysis in literature
– Challenges and limitations of computational text analysis in literature
– Theoretical frameworks for computational text analysis in literature

Chapter 3: Research Methodology
– Data collection methods
– Text preprocessing techniques
– Text analysis tools and software
– Statistical analysis methods
– Qualitative analysis methods
– Validation methods
– Ethical considerations
– Data interpretation

Chapter 4: Discussion of Findings
– Analysis of literary texts using computational text analysis
– Interpretation of results
– Comparison with existing literature
– Implications of findings
– Future research directions

Chapter 5: Conclusion and Summary
– Summary of findings
– Contributions to the field
– Limitations of the study
– Recommendations for future research
– Conclusion

Thesis Overview
Computational text analysis of literature is a powerful tool that allows researchers to uncover hidden patterns and insights in literary texts. By applying computational techniques to analyze and interpret text data, researchers can gain a deeper understanding of the themes, styles, and structures present in literary works. This thesis explores the application of computational text analysis in the study of literature, with a focus on analyzing and interpreting literary texts using computational methods. The thesis includes a comprehensive literature review, a detailed description of the research methodology, a discussion of the findings, and a conclusion that summarizes the key findings and contributions of the study. Through this research, we hope to contribute to the growing body of knowledge on computational text analysis in literature and provide valuable insights for future research in this field.

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