Section 1. Introduction and applications of sentiment analysis. Chapter 1. A study and comparison of sentiment analysis techniques using demonetization: case study ; Chapter 2. Approaches to sentiment analysis on product reviews ; Chapter 3. Sentimental analysis in various business applications ; Chapter 4. A Survey on implementation methods and applications of sentiment analysis ; Chapter 5. Analysis of public sentiments about mega online sale using tweets on big billions day sale ; Chapter 6. Application of sentiment analysis in movie reviews -- Section 2. Data mining and machine learning algorithms. Chapter 7. Implementation of data mining algorithm with r ; Chapter 8. Introduction and implementation of machine learning algorithms in R ; Chapter 9. Conceptual approach to predict loan defaults using decision trees ; Chapter 10. Application of data mining techniques in weather forecasting ; Chapter 11. Data mining and machine learning approaches in breast cancer biomedical research ; Chapter 12. Data visualization in R ; Chapter 13. Ideating a recommender system for business growth using profit pattern mining and uncertainty theory -- Section 3. Big data streams and its applications. Chapter 14. Mining data streams ; Chapter 15. Introduction to big data and business analytics ; Chapter 16. Applications of domain-specific predictive analytics applied to big data.