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Contents 11

Network Information Processing 282
Neural Network Architectures 284
▶ ApplicAtion cAse 6.2 Predictive Modeling Is Powering the Power
Generators 286
6.3 Developing Neural Network–Based Systems 288
The General ANN Learning Process 289
Backpropagation 290
6.4 Illuminating the Black Box of ANN with Sensitivity
Analysis 292
▶ ApplicAtion cAse 6.3 Sensitivity Analysis Reveals Injury Severity
Factors in Traffic Accidents 294
6.5 Support Vector Machines 295
▶ ApplicAtion cAse 6.4 Managing Student Retention with Predictive
Modeling 296
Mathematical Formulation of SVMs 300
Primal Form 301
Dual Form 301
Soft Margin 301
Nonlinear Classification 302
Kernel Trick 302
6.6 A Process-Based Approach to the Use of SVM 303
Support Vector Machines Versus Artificial Neural Networks 304
6.7 Nearest Neighbor Method for Prediction 305
Similarity Measure: The Distance Metric 306
Parameter Selection 307
▶ ApplicAtion cAse 6.5 Efficient Image Recognition and
Categorization with kNN 308
Chapter Highlights 310 • Key Terms 310
Questions for Discussion 311 • Exercises 311
▶ end-of-chApter ApplicAtion cAse Coors Improves Beer Flavors
with Neural Networks 314
References 315

Chapter 7 text Analytics, text Mining, and sentiment Analysis 318
7.1 Opening Vignette: Machine Versus Men on Jeopardy!: The
Story of Watson 319
7.2 Text Analytics and Text Mining Concepts and
Definitions 321
▶ ApplicAtion cAse 7.1 Text Mining for Patent Analysis 325
7.3 Natural Language Processing 326
▶ ApplicAtion cAse 7.2 Text Mining Improves Hong Kong
Government’s Ability to Anticipate and Address Public Complaints 328
7.4 Text Mining Applications 330
Marketing Applications 331
Security Applications 331
▶ ApplicAtion cAse 7.3 Mining for Lies 332
Biomedical Applications 334

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