Preface................ xv
Acknowledgment................ xxi

Section 1 Introduction and Applications of Sentiment Analysis
Chapter 1 A Study and Comparison of Sentiment Analysis Techniques Using Demonetization: Case Study........ 1
Chapter 2 Approaches to Sentiment Analysis on Product Reviews.................. 15
Chapter 3 Sentimental Analysis in Various Business Applications:............... 31
Chapter 4 A Survey on Implementation Methods and Applications of Sentiment Analysis.......... 44
Chapter 5 Analysis of Public Sentiments About Mega Online Sale Using Tweets on Big Billions Day Sale....... 59
Chapter 6 Application of Sentiment Analysis in Movie reviews................. 77

Section 2 Data Mining and Machine Learning Algorithms
Chapter 7 Implementation of Data Mining Algorithm With R............... 92
Chapter 8 Introduction and Implementation of Machine Learning Algorithms in R............. 126
Chapter 9 Conceptual Approach to Predict Loan Defaults Using Decision Trees............. 148
Chapter 10 Application of Data Mining Techniques in Weather Forecasting............... 162
Chapter 11 Data Mining and Machine Learning Approaches in Breast Cancer Biomedical Research.............. 175
Chapter 12 Data Visualization in R............... 205
Chapter 13 Ideating a Recommender System for Business Growth Using Profit Pattern Mining and Uncertainty Theory.............. 223

Section 3 Big Data Streams and Its Applications
Chapter 14 Mining Data Streams.................. 251
Chapter 15 Introduction to Big Data and Business Analytics................ 279
Chapter 16 Applications of Domain-Specific Predictive Analytics Applied to Big Data............... 289
Compilation of References.............. 307
About the Contributors................. 326
Index................. 332