Analyzing Sentiment Trends in Social Media Using Advanced Natural Language Processing Techniques

1. Introduction 1.1 Background and Motivation 1.2 Objectives of the Study 1.3 Structure of the Thesis 2. Literature Review 2.1 Overview of Sentiment Analysis 2.2 Social Media as a Data Source 2.3 Natural Language Processing Techniques 3. Theoretical Framework 3.1 Sentiment Analysis Models 3.2 NLP Algorithms and Approaches 3.3 Trend Analysis in Social Media 4. Research Methodology 4.1 Data Collection Methods 4.2 Preprocessing of Social Media Data 4.3 Tools and Technologies Used 5. Sentiment Analysis Techniques 5.1 Lexicon-Based Approaches 5.2 Machine Learning Methods 5.3 Deep Learning in Sentiment Analysis 6. Analyzing Sentiment Trends 6.1 Pattern Recognition in Sentiment 6.2 Case Studies and Applications 6.3 Interpretation of Results 7. Challenges and Limitations 7.1 Data Quality Issues 7.2 Algorithmic Bias and Ethics 7.3 Limitations of Current Models 8. Conclusion and Future Work 8.1 Summary of Findings 8.2 Implications for Future Research 8.3 Recommendations for Practitioners