Computer and Information Science 2021―Summer (Studies in Computational Intelligence, 985)

✍ Scribed by Roger Lee (editor)

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 213
• Category: Library

✦ Synopsis

This edited book presents scientific results of the 20th IEEE/ACIS International Summer Semi-Virtual Conference on Computer and Information Science (ICIS 2021) held on June 23–25, 2021 in Shanghai, China. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The conference organizers selected the best papers from those papers accepted for presentation at the conference. The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round of review, 13 of the conference’s most promising papers are then published in this Springer (SCI) book and not the conference proceedings. We impatiently await the important contributions that we know these authors will bring to the field of computer and information science.

✦ Table of Contents

Foreword
Contents
Contributors
The Effect of Online Investor Sentiment on Stock Movements: An LSTM Approach
1 Introduction
2 Related Works
2.1 Researches on Traditional Stock Decision Analysis
2.2 Researches on the Prediction of Stock Trend Based on Social Media and Sentiment Analysis
3 Methods
3.1 Dataset
3.2 SentiCon Building
3.3 Sentiment Analysis
3.4 Correlation Analysis
4 Results and Discussions
4.1 Data Collection Results
4.2 Results of Sentiment Lexicon Building
4.3 Sentiment Analysis Results
4.4 Correlation Analysis
5 Conclusion
References
A Framework and Decision Algorithm to Determine the Best Feature Extraction Technique for Supporting Machine Learning-Based Hate Speech Detection
1 Introduction
2 FET Framework
2.1 Tweet Preprocessor
2.2 Tweet Vectorizer
2.3 Tweet Classifier
3 FET Decision Algorithm
4 Experimental Results and Discussion
5 Conclusion and Future Work
References
Sentiment Analysis of Stock Market Investors and Its Correlation with Stock Price Using Maximum Entropy
1 Introduction
2 Related Works
3 Overview of the Research
4 Crawling for Stock Data and User Comment
5 Data Prepossessing
5.1 Chinese Word Segmentation
5.2 Text Filtering: Removing Stop Words and Low-Frequency Words
5.3 Keyword Extraction Algorithm: TF-IDF
5.4 Text Vectorization and Word Matrix
6 Sentiment Classification of User Comment
6.1 Building a Classification Model of ME
6.2 Calculation of the Sentiment Index of Investor
7 Analysis of Experiment Result
7.1 Daily Analysis for the Sentiment Index of Investor
7.2 Comparative Analysis of Sentiment Index of Investor and Stock Price
8 Conclusions and Future Work
References
Intrusion Detection for Modern DDos Attacks Classification Based on Convolutional Neural Networks
1 Introduction
2 Related Work
2.1 Machine Learning
2.2 Deep Learning
3 Methodology
3.1 CNN Model
4 System Implementation
4.1 Dataset
4.2 Dataset Distribution
4.3 Data Preprocessing
5 Experimental Results and Analysis
6 Conclusion
References
KnowGraph-PM: A Knowledge Graph Based Pricing Model for Semiconductor Supply Chains
1 Introduction
2 Background and Motivation
2.1 Background
2.2 Motivation
3 Implementation
3.1 Knowledge Graph (KG)
3.2 Lead Time-Based Pricing Algorithm
4 Evaluation
4.1 Competency Questions and KG Evaluation
4.2 Revenue Management (RM)
4.3 Discussion
5 Conclusion and Outlook
References
A Study on the Recognition of Hangeul Through Transitional Learning in Handwritten Application
1 Introduction
2 Research Background
2.1 Overview of Optical Character Recognition (OCR)
2.2 Whitelist
2.3 Recognition of Korean Letter
2.4 Korean Name
2.5 Korean Address
2.6 Transfer Learning
3 Research Method
3.1 LSTM-Based Open-Source Software Tesseract
3.2 Hangeul Training Data
3.3 Separation of the Data of the GED Application Form
3.4 Whitelist Application
4 Experiment Result
5 Conclusion
5.1 Research Summary and Implication
5.2 Future Challenge and Discussion Topics
References
Study on Partial Image Detection for Drawing—Focus on Unstructured Images Included in the Main Image
1 Introduction
2 Literature Review
2.1 Image Object Detection
2.2 Draw A Person (DAP) Test
2.3 Object Detection Algorithm
3 Methodology
4 Experiment and Verification
4.1 Experimental Method
4.2 Training
4.3 Verification
4.4 Analysis
5 Conclusions
5.1 Research Summary and Implication
References
Factors Affecting the Intention to Use Artificial Intelligence-Based Recruitment System: A Structural Equation Modeling (SEM) Approach
1 Introduction
2 Theoretical Background
2.1 Artificial Intelligence and Recruitment
2.2 Recruitment Procedure Act in Korea
2.3 AI Recruitment System
2.4 Technology, Organization, and Environment (TOE) Framework
2.5 Technology Acceptance Model (TAM)
3 Research Design
3.1 Research Hypothesis
4 Empirical Analysis
4.1 Reliability, Convergence Validity, and Discriminant Validity
4.2 Goodness of Fit
4.3 Structural Model for Hypotheses Testing
4.4 Moderating Effect Analysis
5 Conclusions
References
A Comparative Study of Vectorization Approaches for Detecting Inconsistent Method Names
1 Introduction
2 Method Name and Its Evaluation
2.1 Method Name
2.2 The Consistency Between the Method's Name and Body
2.3 Method Name Consistency Evaluation
3 Vectorization-Based Detection of Inconsistent Method Names
3.1 Vectorization Approaches Used in the Conventional Evaluation Procedure
3.2 Conventional Procedure
3.3 Challenge of Conventional Procedure and Alternatives
4 Comparative Study
4.1 Aim
4.2 Dataset and Computational Environment
4.3 Procedure
4.4 Results
4.5 Discussion
4.6 Threats to Validity
5 Conclusion and Future Work
References
Heart Sound Segmentation Based on a Joint HSMM Method
1 Introduction
2 Related Work
2.1 Heart Sound Segmentation
2.2 Model Training
3 Methodology
3.1 Data Preprocessing
3.2 Model Training
3.3 Model Fusion Mechanism
3.4 Performance Metrics
4 Results and Discussion
4.1 Experiment Result
4.2 Discussion
5 Conclusion
References
A Novel Authentication System for Artwork Based on Blockchain
1 Introduction
2 Related Works
3 Proposed System
3.1 Overall System Architecture
3.2 Database, Key Storage and Blockchain Records
3.3 Issuing QR Code Process
3.4 Verifying Ownership and Authenticity Process
3.5 Transferring Ownership Process
4 Security Analysis
5 Discussion and Contribution
6 Conclusions
References
Image Steganography Using GANs
1 Introduction
2 Proposed System
2.1 DCGAN Training
2.2 Extractor Training
2.3 Secure Communication
3 Experimental Results
3.1 DCGAN Training Results
3.2 Extractor Training Results
3.3 Secure Communication Implementation
3.4 Capacity
4 Conclusions
References
Coverage-Guided Fairness Testing
1 Introduction
2 Background
2.1 Individual Discrimination
2.2 Aequitas Approach
2.3 Combinatorial t-Way Testing
3 Coverage-Guided Fairness Testing (CGFT)
3.1 Obtain a Test Suite of Specified Size Using CT
3.2 Find Seed Data by Executing This Test Suite
3.3 Execute Aequitas' Local Search on These Seed Data
4 Evaluation
4.1 Experimental Setup
4.2 Answers to Research Questions
5 Threats to Validity
6 Related Work
7 Conclusions and Future Work
References
Author Index
507000_1_En_14_Chapter_OnlinePDF.pdf
Correction to: Sentiment Analysis of Stock Market Investors and Its Correlation with Stock Price Using Maximum Entropy
Correction to: Chapter “Sentiment Analysis of Stock Market Investors and Its Correlation with Stock Price Using Maximum Entropy” in: R. Lee (ed.), Computer and Information Science 2021—Summer, Studies in Computational Intelligence 985, https://doi.org/10.1007/978-3-030-79474-33