Developing a Machine Learning Model for Sentiment Analysis of Hotel Reviews Using NLP Techniques

1. Introduction 1.1 Background of Sentiment Analysis 1.2 Importance of Hotel Reviews 1.3 Objective of the Study 1.4 Structure of the Thesis 2. Literature Review 2.1 Sentiment Analysis in Literature 2.2 NLP Techniques Overview 2.3 Machine Learning in Sentiment Analysis 3. Methodology 3.1 Data Collection 3.2 Data Preprocessing 3.3 Model Selection Criteria 3.4 Evaluation Metrics 4. Natural Language Processing Techniques 4.1 Tokenization and Lemmatization 4.2 Stop Words Removal 4.3 Feature Extraction Methods 5. Machine Learning Models 5.1 Selection of Algorithms 5.2 Training and Validation 5.3 Performance Tuning 6. Implementation and Results 6.1 Model Implementation Process 6.2 Experimental Setup 6.3 Result Analysis 7. Discussion 7.1 Findings and Interpretation 7.2 Comparison with Existing Models 7.3 Implications for Hotel Industry 8. Conclusion and Future Work 8.1 Summary of Contributions 8.2 Limitations of the Study 8.3 Recommendations for Future Research