Intro
Foreword
Contents
Contributors
Research on Development of Sponsorship Effect Analysis Module Using Text Mining Technique
1 Introduction
2 Theoretical Background
2.1 Definition of Sponsorship and Sponsorship Effect
2.2 Study of Text Analysis Techniques
2.3 Prior Studies Using News Text Analysis
3 Research Method and Result
3.1 Research and Development Process
3.2 Data Collection
3.3 Development of Sponsor Effectiveness Analysis Module
3.4 Building a Simple Dashboard
4 Conclusions
References

A Study on the Relationship Between ESG News Keywords and ESG Ratings
1 Introduction
2 Theoretical Background
2.1 Overview of ESG
2.2 Related Works
3 Research Method
3.1 Data Collection
4 Data Analysis
4.1 Frequency Analysis and Word Cloud
4.2 Relationship Analysis of the Influence on ESG Rating
5 Conclusion
References
Development of Associated Company Network Visualization Techniques Using Company Product and Service Information-Using Cosine Similarity Function
1 Introduction
2 Theoretical Background and Prior Research
2.1 Text Mining Research

2.2 Social Network Analysis Study
2.3 Associated Companies Analysis
3 Research Method
4 Analysis Results
5 Conclusion
References
Hybrid CNN-LSTM Based Time Series Data Prediction Model Study
1 Introduction
2 Theoretical Background
2.1 Time-Series Analysis
2.2 Recurrent Neural Network
2.3 Long- Short-Term Memory
2.4 Convolutional Neural Network
3 Research Method
3.1 Methodology to Predict Time-Series Using CNN-LSTM
3.2 Performance Procedure
4 Experiments and Results
4.1 Evaluation Methods
4.2 Evaluation Methods

4.3 Comparative Evaluation of Deep Learning Models
5 Conclusion
References
A Study on Predicting Employee Attrition Using Machine Learning
1 Introduction
2 Theoretical Background
2.1 Data Analytics in the Human Resources (HR)
2.2 Machine Learning Algorithm
3 Research Design
3.1 Research Framework
3.2 Feature Selection Using Filter Method
3.3 Classification Prediction Model
3.4 Machine Learning Performance Measurement
4 Research Result
4.1 Data Set
4.2 Data Preprocessing
4.3 Feature Selection
4.4 Ensemble Prediction Model Performance

5 Conclusion
References
A Study on the Intention to Continue Using a Highway Driving Assistance (HDA) System Based on Advanced Driver Assistance System (ADAS)
1 Introduction
2 Theoretical Background
2.1 Advanced Driver Assistance Systems (ADAS)
2.2 Highway Driving Assistance System (HDA)
2.3 HDA (Highway Driving Assist) User Characteristics
2.4 Protection Motivation Theory (PMT)
2.5 Technology Acceptance Model (TAM)
3 Research Method
3.1 Data Collection
3.2 Research Model and Selection of Variables
4 Data Result Analysis
5 Conclusions
References