Intro
Preface
Organization
Contents
Artificial Intelligence
Opinion Mining on Paul W. S. Anderson's Monster Hunter from Chinese Social Media Using Sentiment Analysis
1 Introduction
2 Literature Review
2.1 Natural Language Processing and Opinion Mining
2.2 Sentiment Analysis
3 Materials and Methodology
4 Results and Discussion
4.1 Distribution of Sentiment Scores and the Changes in the Number of Negative and Positive Comments Over Time
4.2 Results of Positive and Negative Reviews
4.3 Analysis of Reviews Before and After the Movie Release Date

4.4 Analysis of Extreme Points in Positive and Negative Reviews
5 Conclusion
References
Kevin Kwan's Crazy Rich Asians: Opinion Mining and Emotion Detection on Fans' Comments on Social Media
1 Introduction
2 Literature Review
2.1 Social Media Text Analytics
2.2 Emotion Classification
2.3 Incremental Learning Approaches
3 Methodology
4 Analysis and Results
5 Discussion and Conclusion
References
Voltage Profile Improvement and Active Power Loss Reduction Through Network Reconfiguration Using Dingo Optimizer
1 Introduction

2 Network Reconfiguration Problem Formulation
2.1 The Voltage Magnitude
2.2 The Current Limit of Branches
2.3 Radial Topology
3 Dingo Optimizer
3.1 Mathematical Models
3.2 Dingo Optimizer Algorithm
4 Results and Discussion
5 Conclusion
References
Machine Learning and Marketing Campaign: Innovative Approaches and Creative Techniques for Increasing Efficiency and Profit
1 Introduction
2 Related Work
3 Methodology
3.1 Overall Structure Architecture
3.2 Evaluation Metrics
3.3 The Used ML Models
4 Result and Discussions
5 Conclusion and Future Work

Towards the Prediction of Students' Performance Using Educators' Domain Knowledge
1 Introduction
2 Related Work
3 Methodology
4 Results and Discussion
5 Conclusion
References
Learners' Performance Evaluation Using Genetic Algorithms
1 Introduction
2 Literature Review
3 Methodology
3.1 Data Set
3.2 Feature Selection Technique - Genetic Algorithm
3.3 Logistic Regression
3.4 Naive Bayes Model
3.5 Random Forest Model
4 Results and Discussion
4.1 Accuracy Score
4.2 Precision
4.3 Recall
4.4 F1-Score
5 Conclusion and Future Work