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Introduction

In recent years, with the explosion of social media platforms and the enormous amount of data generated daily, sentiment analysis has become increasingly important in various fields such as marketing, customer service, and political science. Sentiment analysis, also known as opinion mining, is the process of extracting and analyzing subjective information from text to determine the sentiment expressed by the author. One particular area where sentiment analysis has gained significant importance is in the analysis of movie reviews.

With the rise of online review platforms such as Rotten Tomatoes, IMDb, and Metacritic, moviegoers now have access to a vast number of reviews that can influence their decision to watch a movie. As a result, movie studios and filmmakers are increasingly interested in understanding the sentiments expressed in these reviews to gauge public perception and improve their products.

This thesis aims to explore the various techniques and methods used in sentiment analysis for movie reviews. By analyzing the sentiments expressed in movie reviews, we seek to understand the factors that influence audience perception and reception of movies.

Table of Contents

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 Sentiment Analysis
2.2 Sentiment Analysis Techniques
2.3 Applications of Sentiment Analysis
2.4 Sentiment Analysis for Movie Reviews
2.5 Movie Review Datasets
2.6 Sentiment Analysis Tools
2.7 Challenges in Sentiment Analysis
2.8 Sentiment Analysis Evaluation Metrics
2.9 Sentiment Analysis in the Film Industry
2.10 Conclusion

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection
3.3 Data Preprocessing
3.4 Sentiment Analysis Techniques
3.5 Feature Extraction
3.6 Sentiment Classification
3.7 Performance Evaluation
3.8 Ethical Considerations

Chapter 4: Discussion of Findings
4.1 Overview of Movie Reviews Dataset
4.2 Sentiment Analysis Results
4.3 Factors Influencing Sentiment
4.4 Comparison of Sentiment Analysis Techniques
4.5 Implications for Movie Industry
4.6 Limitations of the Study
4.7 Future Research Directions

Chapter 5: Conclusion
5.1 Summary of Findings
5.2 Conclusion
5.3 Contributions of the Study
5.4 Recommendations
5.5 Future Work

Thesis Overview

Sentiment analysis for movie reviews is a rapidly growing field that holds great potential for understanding audience perceptions and improving the film industry. This thesis aims to explore the various techniques and methods used in sentiment analysis for movie reviews. Chapter 1 provides an introduction to the topic, including the background of the study, the problem statement, objectives, limitations, scope, significance, and structure of the thesis. Chapter 2 presents a comprehensive literature review on sentiment analysis, its techniques, applications, challenges, and specific focus on movie reviews. Chapter 3 details the research methodology, including research design, data collection, preprocessing, sentiment analysis techniques, feature extraction, classification, evaluation, and ethical considerations. Chapter 4 discusses the findings of the study, analyzing movie review datasets, sentiment analysis results, factors influencing sentiment, comparisons of techniques, implications for the film industry, limitations, and future research directions. Chapter 5 concludes the thesis, summarizing findings, conclusions, contributions, recommendations, and suggestions for future work. Through this study, we aim to contribute to the field of sentiment analysis for movie reviews and provide insights for industry professionals and researchers.

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