Advances in Computational Collective Intelligence: 12th International Conference, ICCCI 2020, Da Nang, Vietnam, November 30 – December 3, 2020, Proceedings 9783030631185, 9783030631192

Table of contents :
Preface
Organization
Contents
Data Mining and Machine Learning
Rule Induction of Automotive Historic Styles Using Decision Tree Classifier
1 Introduction
2 Artificial Intelligence and Style
2.1 Research Relevant to the Application of AI in Design
2.2 The Definition and Classification of Design
2.3 Potential of Using Data Mining and Decision Tree to Classify Styles
3 Method
3.1 Choice of Features and Style
3.2 Choice of Case Study
3.3 Classification Methods and Tools
4 Results
4.1 Decision Tree Classification Model Diagram
4.2 The Average Accuracy of Ten Decision Trees
4.3 Correlation Between Design Features and Accuracy
4.4 The Accumulated Number of Statistical Design Features
4.5 Entropy, Information Gain and Gain Ratio
5 Discussion
5.1 Case Study of Automotive-Style Classification
5.2 Summary
6 Conclusion
References
Deep Learning for Multilingual POS Tagging
1 Introduction
2 Related Work
2.1 Deep Neural Network
2.2 Max-Margin Tensor Neural Networks
2.3 Convolutional Neural Network
2.4 Recurrent Neural Network
3 Part-of-Speech Taggers
4 Experiments
4.1 Data Set
4.2 Model Setup
4.3 Results
5 Conclusion
References
Study of Machine Learning Techniques on Accident Data
1 Introduction
2 Dataset
3 The Methodology
3.1 Clustering to Subgroup Similar Types of Accidents
3.2 Classification/Predictive Models for Each Cluster
4 Experiments, Result Analysis and Discussion
4.1 Results of Cluster Analysis
4.2 Selecting Influential Attributes by Random Forest Analysis
4.3 Classification and Rule Generation
4.4 Rule Generation Using PART
5 Conclusion and Possible Future Work
References
Soil Analysis and Unconfined Compression Test Study Using Data Mining Techniques
1 Introduction
2 Related Work
3 Dataset
3.1 Mymensingh
3.2 Rangamati
4 Methodology and Results
4.1 Models
4.2 Accuracy Metric
4.3 Results
5 Conclusion
References
Self-sorting of Solid Waste Using Machine Learning
1 Introduction
1.1 Waste Recycling
1.2 Literature Review of Self-sorting Bins
2 Self-sorting Bin Design
2.1 Mechanical Design
2.2 Electrical Design
2.3 Sensors
3 Software Architecture
3.1 Classification Models
3.2 Combined Classifier
4 Classifiers Performance
5 Conclusion
References
Clustering Algorithms in Mining Fans Operating Mode Identification Problem
1 Introduction
2 Problem Description
3 Description of the Industrial Fan Station
4 Methodology
4.1 Source Data Characteristics and Preprocessing
4.2 Algorithms Description
5 Applications to Real-Life Data and Algorithms Comparison
6 Conclusions
References
K-Means Clustering for Features Arrangement in Metagenomic Data Visualization
1 Introduction
2 Related Work
3 Features Clustering in Synthetic Metagenomic Images
3.1 Metagenomic Datasets Description for the Analysis
3.2 K-Means Clustering
3.3 Fill-Up with K-Means Clustering Algorithms
4 Experimental Results
4.1 Settings for Learning Models and Visualization Methods
4.2 Metrics for Comparison
4.3 Different Parameters with Visualizations Based on K-Mean Clustering Algorithms
4.4 Compared to the State-of-the-Art
5 Conclusion
References
Small Samples of Multidimensional Feature Vectors
1 Introduction
2 Linearly Independent Feature Vectors
3 Perceptron Criterion Function ΦP,K(W, θ)
4 Collinearity Criterion Functions ΦC(W)
5 Dual Planes and Vertices in the Parameter Space
6 Vertexical Feature Subspaces Fk[rk]
7 Basis Exchange Algorithm
8 Feature Clustering
9 Concluding Remarks
References
Using Fourier Series to Improve the Discrete Grey Model (1, 1)
1 Introduction
2 Methodology
2.1 A Brief Introduction to the Discrete Grey Model
2.2 The Error Filter of DGM (1, 1) by Fourier Series
2.3 Prediction Capability Analysis
3 Verification of the F-DGM (1, 1)
3.1 Numerical Example in Xie and Liu’s Paper
3.2 The Closed Price of Taiwan Stock Exchange Capitalization Weight Stock Index Forecasting
4 Conclusion
References
Studying on the Accuracy Improvement of GM (1, 1) Model
1 Introduction
2 Traditional Grey Forecasting Model and Systematic Optimization Approach
2.1 Traditional Grey Forecasting Model “GM (1, 1)”
2.2 Design of Systematic Optimization for Grey Forecasting Model
2.3 Prediction Capability Analysis
3 Results and Discussion
3.1 Numerical Example with Negative Value in the Data Sequence
3.2 High Technology Industrial Output Forecasting in Taiwan (Wang and Hsu, 2008)
4 Conclusions
References
Deep Learning and Applications for Industry 4.0
An Evaluation of Image-Based Malware Classification Using Machine Learning
1 Introduction
2 Related Work
3 System Model
4 Experiments and Results
4.1 Dataset
4.2 Experimental Setups
4.3 Experiment Results
5 Conclusion
References
Automatic Container Code Recognition Using MultiDeep Pipeline
1 Introduction
2 Related Work
2.1 Scene Text Detection
2.2 Optical Character Recognition
2.3 End-to-End Text Extraction from Image
2.4 Summary
3 The MultiDeep Pipeline
3.1 Process 1: Model Initiation
3.2 Process 2: Preprocessing
3.3 Process 3: Text Area Recognition
3.4 Process 4: Text Area Recognition Postprocessing
3.5 Process 5: Character Recognition
3.6 Process 6: Character Recognition Postprocessing
3.7 Summary
4 Experiment
5 Conclusion
References
An Efficient Solution for People Tracking and Profiling from Video Streams Using Low-Power Compute
1 Introduction
2 Related Work
2.1 Object Detection and Object Tracking
2.2 Face Detection
2.3 Face Tracking
2.4 Object Detection and Tracking on Edge Devices
3 Proposed Method Focusing on Low-Power Compute
3.1 Models
3.2 Hardware
4 Results
4.1 Detections
4.2 Object Detection
4.3 Object Tracking
4.4 Object Counting Results
4.5 Face Detection
5 Conclusions
References
Simple Pose Network with Skip-Connections for Single Human Pose Estimation
1 Introduction
2 Related Work
3 Our Approach
4 Experiments
4.1 Dataset
4.2 Implementation Details
4.3 Experiment Results
5 Conclusion
References
Simple Fine-Tuning Attention Modules for Human Pose Estimation
1 Introduction
2 Related Work
3 Methodology
3.1 Network Architecture
3.2 Loss Function
4 Experiments
4.1 Experiment Setup
4.2 Experiment Result
5 Conclusion
References
Human Eye Detector with Light-Weight and Efficient Convolutional Neural Network
1 Introduction
2 Related Work
2.1 Traditional Methodologies
2.2 Machine Learning Methodologies
3 Proposed Network
3.1 Shrinking Block
3.2 Inception Block
3.3 Convolution Block
3.4 Detection Block
3.5 Loss Function
4 Experimental Result
4.1 Dataset Preparation
4.2 Experimental Setup
4.3 Experimental Result
5 Conclusion and Future Work
References
Recommender Systems
Robust Content-Based Recommendation Distribution System with Gaussian Mixture Model
1 Introduction
2 Related Work
2.1 Content-Based Recommendation
2.2 Popular Similarities
2.3 Gaussian Mixture Model (GMM)
3 Dataset
4 Proposed Model
4.1 Data Pre-processing
4.2 Clustering
4.3 Gaussian Function for Sorting
4.4 Levenshtein Distance for Comparison
4.5 Final Sorting Formula
4.6 Proposed Model Pseudo Code
5 Experiments
5.1 Evaluation Method
5.2 Experimental Analysis
5.3 Experimental Results and Comparison
6 Conclusion
References
Incremental SVD-Based Collaborative Filtering Enhanced with Diversity for Personalized Recommendation
1 Introduction
2 Collaborative Filtering
2.1 Neighborhood Model [3]
2.2 Matrix-Factorization Model
2.3 Long-Tail Phenomenon
3 Methodology
4 Experimental Results
4.1 Experimental Platform
4.2 Evaluation Metrics and Results
5 Conclusions and Future Work
References
Collaborative Filtering Recommendation Based on Statistical Implicative Analysis
1 Introduction
2 The CF Model Based on Association Rules
3 Statistical Implication Analysis Method
4 The CF Model Based on Measures (CFR Model)
4.1 Association Rules Based on Measures
4.2 The CF Model Based on Measures
5 The CF Model Based on SIS Measures (CFSISR Model)
5.1 Similarity Measures Based on Measures
5.2 CF Model Based on SIS Measures
6 Experiments
6.1 Experimental Data
6.2 The Tool for Experiments
6.3 The Experimental Results on Integer Rating Dataset
6.4 The Experimental Results on Binary Rating Dataset
6.5 Comparative Results of Models on Datasets
7 Conclusions
References
Computer Vision Techniques
Object Searching on Video Using ORB Descriptor and Support Vector Machine
1 Introduction
2 Related Works
3 The Proposed Method
3.1 Keyframe Selection
3.2 Oriented FAST and Rotated BRIEF (ORB)
3.3 Features Clustering on Keyframe
3.4 SVM Multiclass
4 Results and Discussion
4.1 Data Acquisition and Pre-processing
4.2 The Experiment of SVM Model Training
4.3 Evaluation on Single Object
4.4 Evaluation on Multiple Objects
4.5 Evaluation on Small Object
4.6 Discussion
5 Conclusion
References
An Improved of Joint Reversible Data Hiding Methods in Encrypted Remote Sensing Satellite Images
1 Introduction
2 Related Works
3 Proposed Works
3.1 Modification of Fluctuation Function
3.2 Procedures of the Proposed Method
4 Results and Discussion
5 Conclusion
References
3D Kinematics of Upper Limb Functional Assessment Using HTC Vive in Unreal Engine 4
1 Introduction
2 Related Work
3 Proposed Upper Limb Rehabilitation System
3.1 HTC Vive Overview
3.2 Unreal Engine 4 (UE4)
3.3 Arm Length Measurement
3.4 Arm Assessment
4 Methodology
4.1 Subject
4.2 Testing Procedure
5 Statistical Analysis
6 Results
6.1 Arm Length Assessment
6.2 Arm Assessment
7 Discussion
8 Conclusion
References
2D-CNN Based Segmentation of Ischemic Stroke Lesions in MRI Scans
1 Introduction
2 Literature Review
2.1 CNN Based Approaches for Stroke Lesion Segmentation
3 Methodology
3.1 Data Acquisition
3.2 Pre-processing
3.3 Proposed Model
3.4 Proposed Network Architecture
4 Performance Evaluation
5 Conclusion
References
Melanoma Skin Cancer Classification Using Transfer Learning
1 Introduction
2 Skin Cancer in People of Colour
3 Segmentation
4 Methods and Materials
4.1 Datasets
4.2 Transfer Learning
4.3 Data Argumentation
4.4 Batch Normalization
4.5 Evaluation Metrics
5 Discussion
6 Conclusion
References
Decision Support and Control Systems
Design a Neural Controller to Control Rescue Quadcopter in Hang Status
1 Problem
2 Quadcopter Dynamics
3 Design of Signal Analyzer
4 Design of H−1 Controller
5 Simulation Results and Analysis
6 Conclusion and Discussion
References
Multidimensional Analysis of SCADA Stream Data for Estimating the Energy Efficiency of Mining Transport
1 Introduction
2 Description of the Subject Object
3 Input Data and Its Analytical Capacity
3.1 Input Data - Basic Information
3.2 Identified Connections and Analytical Capacity
4 Methodology
4.1 Identified Connections and Analytical Capacity
4.2 Application of the Algorithm to Real Data
4.3 Sample Multidimensional Analyses
5 Summary
References
A Simple Method of the Haulage Cycles Detection for LHD Machine
1 Introduction
2 Input Data
3 Methodology
3.1 Data Smoothing
3.2 Step Detection
3.3 Cycles Detection
3.4 Detection of Loading Operation
4 Algorithm Efficiency
5 Conclusions
References
Haul Truck Cycle Identification Using Support Vector Machine and DBSCAN Models
1 Introduction
2 Description of Mining Machine and Cyclic Haulage Process
2.1 Investigated Machine - Haul Truck
2.2 Characteristics of Load-Haul Procedure
2.3 Source Data from Haul Truck
3 Methodology
3.1 Analysis of Relationships in the Data and Identification of Patterns
3.2 Pre-processing Data
3.3 Identification of Haul Truck Unloading Process via SVM
3.4 Clustering Results with DBSCAN
4 Testing on the Industrial Data
5 Summary
References
Intelligent Management Information Systems
Data Quality Management in ERP Systems – Accounting Case
1 Introduction
2 Research Methodology
3 Related Works
4 Data Quality Management
5 Discussion
6 Conclusion
References
A Model of Enterprise Analytical Platform for Supply Chain Management
1 Introduction
2 The Development of Methods, Techniques, and Technologies to Improve the Efficiency of Supply Chain Management
3 A Proposal of an Enterprise Analytical Platform Model for the Data Integration of SCM
4 Implementation of Selected Business Processes - A Case Study
5 Conclusions and Future Work
References
Identification the Determinants of Pre-revenue Young Enterprises Value
1 Introduction
2 Specificity of Entities Start-Up in the Early Phase
2.1 Start-Up Concept
2.2 Problems of Company Valuation in the Start-Up Phase
3 Research Method
4 Measurement of the Value of Start-Up in the Pre-revenue Phase
4.1 Value Based Management
4.2 Scoring Methods
4.3 Methods Derived from the DCF Concept
4.4 Other Areas of Research Exploration Related to the Value of Start-Ups
5 Discussion and Conclusion
References
Blockchain Platform Taxonomy
1 Introduction
2 Review of Existing Blockchain Classification
3 Methodology
4 Developed Blockchain Taxonomy
4.1 Token
4.2 Transaction
4.3 Block
4.4 Framework
4.5 Network
4.6 Communication
5 Conclusion
References
Brain Tumor Medical Diagnosis. How to Assess the Quality of Projection Model?
1 Introduction
2 Modeling Postoperative Outcomes
3 The Assessment of the Model Quality
4 Empirical Results
5 Summary
References
Meta-learning Process Analytics for Adaptive Tutoring Systems
1 Introduction
2 Background and Related Work
3 Adaptability in Intelligent Tutoring Systems
4 Elements of the Meta-learning Process
5 Analytic Cycle for Meta-learning Adaptation
6 Discussion and Future Work
7 Conclusion
References
Innovations in Intelligent Systems
Visualization of Structural Dependencies Hidden in a Large Data Set
1 Introduction
2 Related Works
3 Generation Algorithm
3.1 Basic Notions
3.2 Procedure
3.3 Known Limitations
4 Proposed Extensions
4.1 Working Modes
4.2 Data Types
4.3 Class Names
4.4 Many Relationships Between the Same Classes
5 Summary
References
Internet Advertising Strategy Based on Information Growth in the Zettabyte Era
1 Introduction
2 Internet Statistics
3 Measuring the Information Growth Related to User Activity
4 Results
4.1 What Are the Best Times for Ads to Be Displayed?
4.2 What Should Be the Right Market Strategy?
5 Conclusion
References
An Approach Using Linked Data for Open Tourist Data Exploration of Thua Thien Hue Province
1 Motivation
2 Open Data as the Core of the Digital Transformation
3 Linked Data – a Choice for Open Data Format
3.1 Principles of Linked Data
3.2 5-Star Linked Open Data Scheme
3.3 Linked Open Data Cloud
3.4 Thua Thien Hue Open Data Initiative Goes for Linked Open Data
4 Linked Open Data Mashup for Open Tourist Data Exploration in Thua Thien Hue
4.1 Transforming Raw Data to RDF/Linked Data
4.2 Tourist Service Support Systems Using the Tourist Linked Open Dataset
5 Conclusion and Outlook
References
A Literature Review on Dynamic Pricing - State of Current Research and New Directions
1 Introduction
1.1 Motivation
1.2 Methodology
1.3 Composition of the Paper
2 Background
3 Dynamic Pricing
3.1 Inventory Restrictions
3.2 Demand Estimation Technique
3.3 Application Area
4 New Directions in Dynamic Pricing
5 Conclusion
References
Intelligent Modeling and Simulation Approaches for Games and Real World Systems
Sentiment Analysis by Using Supervised Machine Learning and Deep Learning Approaches
1 Introduction
2 Problem Statement
3 Related Work
4 Approaches
5 Implementation
5.1 Traditional Machine Learning Approach
5.2 Deep Neural Networks
6 Experimental Results
6.1 Machine Learning Approach
6.2 Deep Learning Model
7 Conclusion and Future Work
References
EEG Based Source Localization and Functional Connectivity Analysis
1 Introduction
2 Related Works
3 Dataset Description
4 Data Preprocessing
5 Source Localization and Functional Connectivity
6 Experimental Results of the Proposed Model
6.1 Source Localization Analysis
6.2 Functional Connectivity Analysis
7 Conclusion
References
Fitness Function Design for Neuroevolution in Goal-Finding Game Environments
1 Introduction
2 Related Work
3 Architecture and Design of Experiments
3.1 Choice of Inputs and Output
3.2 Incremental Fitness Function Design
4 Simulation Results and Analysis
4.1 Objective Fitness Function Designs
4.2 Snake Game Environment with Obstacles
5 Augmenting Fitness Using Novelty Search
6 Conclusion and Future Work
References
An Application of Machine Learning and Image Processing to Automatically Detect Teachers’ Gestures
1 Introduction
2 Related Work
3 The Study
3.1 Methods
3.2 The Automatic Gesture Recognition Procedure
4 Results and Discussion
5 Conclusions and Future Work
References
The Effect of Teacher Unconscious Behaviors on the Collective Unconscious Behavior of the Classroom
1 Introduction
2 Literature Review
3 Method
4 Results and Discussions
5 Conclusions
References
Experience Enhanced Intelligence to IoT
Situational Awareness Model of IoV Based on Fuzzy Evaluation and Markov Chain
1 Introduction
2 Model of IoV Situation Awareness
2.1 Single-Vehicle Assessments
2.2 Zone Evaluation
2.3 Situation Projection
3 Experiment
3.1 Experiment Environment
3.2 Experimental Result
4 Discussion
References
A Framework for Enhancing Supplier Selection Process by Using SOEKS and Decisional DNA
1 Introduction
2 Literature Review
2.1 Supplier Selection Process
2.2 Supplier Selection Decision-Making Criteria
2.3 Set of Experience Knowledge Structure and Decisional DNA
3 Proposed Framework of Supplier Selection Process
3.1 Working Algorithm of Proposed Framework
4 Conclusion and Future Work
References
An Efficient Approach for Improving Recursive Joins Based on Three-Way Joins in Spark
1 Introduction
2 Background
2.1 Apache Hadoop and Apache Spark
2.2 Bloom Filter
2.3 Join Operation
3 Proposed Method for Recursive Joins on Large Datasets
3.1 Recursive Join Operation
3.2 Semi-Naive Algorithm for Recursive Joins
3.3 Recursive Join Optimization Based on Three-Way Join and Filters
4 Evaluation
4.1 Spark Cluster
4.2 Results
5 Conclusion
References
Lambda Architecture for Anomaly Detection in Online Process Mining Using Autoencoders
1 Introduction
2 Related Work
3 Lambda Architecture
4 Anomaly Detection Using Autoencoders
4.1 Autoencoders
4.2 General Filter Architecture
4.3 Method of Anomaly Detection
4.4 Classifying Erroneous Data
5 Lambda Architecture-Based Anomaly Filter in an Online Process Mining Setting
6 Experiment
6.1 Event Data
6.2 Anomalous Event Data
6.3 Experimental Setup
6.4 Results
7 Conclusion and Future Work
References
Data Driven IoT for Smart Society
Biomedical Text Recognition Using Convolutional Neural Networks: Content Based Deep Learning
1 Introduction
2 State of the Art
3 Proposed System
4 Results
5 Discussion
6 Conclusion
References
Pattern Mining Predictor System for Road Accidents
1 Introduction
2 State of the Art
3 Proposed System
4 Results
5 Discussion
6 Conclusion
References
Artificial Neural Network Approach to Flood Forecasting in the Vu Gia–Thu Bon Catchment, Vietnam
1 Introduction
2 Artificial Neural Network
2.1 Background
2.2 Training
2.3 Nodes
3 Study Area
4 Model Development
5 ANN Model Results
6 Conclusion
References
Ensuring Comfort Microclimate for Sportsmen in Sport Halls: Comfort Temperature Case Study
1 Introduction
2 A Case Study of Thermal Comfort in the Indoor Sport Hal
2.1 The Rules Governing the Parameters of the Microclimate in the Premises (the European Union)
2.2 The Principle of Air-Tightness
3 Math Model
4 Experiment Results
5 Conclusion
References
Applications of Collective Intelligence
Smart Solution to Detect Images in Limited Visibility Conditions Based Convolutional Neural Networks
1 Introduction
2 Related Works
3 Proposed Work
3.1 Overview
3.2 Deep Neural Network for Visibility Enhancement
3.3 Saliency Detection Techniques
3.4 Object Detection on Distorted Image
4 Results and Discussions
5 Conclusion
References
Experience Report on Developing a Crowdsourcing Test Platform for Mobile Applications
1 Introduction
2 Background
2.1 Basics on Crowdsourced Testing
2.2 Technical Aspects of Crowdsourced Testing
3 Development of a Test Platform: TMACSTEST
3.1 Model-Based Testing for Mobile Applications
3.2 Test Results Analysis
4 Describing the Details of TMACSTest Development
4.1 The Requirements Specification Phase
4.2 The Design Phase
5 Conclusion and Future Work
References
Vision Based Facial Expression Recognition Using Eigenfaces and Multi-SVM Classifier
1 Introduction
2 Related Work
3 Background Theory
3.1 Principal Component Analysis (PCA)
3.2 Multi-Support Vector Machines (Multi-SVMs)
4 Proposed System
5 Experimental Results
5.1 Dataset
5.2 Experimental Environment
6 Conclusion
References
An Effective Vector Representation of Facebook Fan Pages and Its Applications
1 Introduction
2 Related Work and Motivation
3 A Novel Solution for Facebook Fan Page Modeling
3.1 Observations
3.2 Proposed Process Diagram
3.3 Topic Modeling Using LDA
3.4 Fan Page Representation Using Vector
4 Experiments and Results
4.1 Data
4.2 Experimental Settings
4.3 Topic Modeling Results
4.4 Fan Page Modeling Results
4.5 Fan Page Clustering Results
5 Conclusion
References
Natural Language Processing
Wordnet – a Basic Resource for Natural Language Processing: The Case of plWordNet
1 Introduction
2 WordNet Implementation
3 plWordNet in Brief
4 Applications of plWordNet
4.1 plWordNet Development
4.2 plWordNet for Systems of Natural Language Processing
5 Conclusions and Further Works
References
KEFT: Knowledge Extraction and Graph Building from Statistical Data Tables
1 Introduction
2 Related Work
3 The KEFT Knowledge Extraction System
3.1 Locating Information
3.2 Extraction of Knowledge
3.3 Knowledge Graph Construction
4 Experiment
5 Evaluation
6 Conclusion
References
Devising a Cross-Domain Model to Detect Fake Review Comments
Abstract
1 Introduction
2 Related Work
2.1 Studies on Interdisciplinary Identification of Fake Comments
2.2 Stimulus-Organism-Response (S-O-R) Framework
3 Research Methodology
3.1 S-O-R Category Filter Method
3.2 Method 1: S-O-R and the Characteristic Weights of Comments
3.3 Method 2: Frequency Characteristics of Word Vectors
4 Research Results
4.1 Data Collection
4.2 S-O-R Category Data
4.3 Comments and S-O-R Word Characteristic Weights
4.4 Method 1: S-O-R and Characteristic Weights of Comments
4.5 Method 2: Word Vector Frequency Characteristics
5 Conclusion and Future Research
References
Low Resource Languages Processing
Towards the Uzbek Language Endings as a Language Resource
1 Introduction
2 Related Works
3 Motivation
4 The Inferring of Uzbek Word Endings’ Complete System
4.1 Inferring Nominal Endings
4.2 Verbal Endings
4.3 Inferring Participle Endings
5 The Complete System of Uzbek Language Endings as a Language Resource
5.1 Lexicon Free Stemming Tool for Segmentation Analysis
6 Conclusion and Further Work
References
Inferring the Complete Set of Kazakh Endings as a Language Resource
1 Introduction
2 Related Works
3 Motivation
4 Methods of Inferring the Set of Kazakh Endings
5 Inferring the Set of Kazakh Endings
5.1 Inferring of Endings for Nominal Base Words
5.2 Inferring of Endings for a Verbs Base Words
6 The Complete System of Kazakh Endings as a Language Resource
7 Conclusion and Future Work
References
A Multi-filter BiLSTM-CNN Architecture for Vietnamese Sentiment Analysis
1 Introduction
2 Related Work
3 Methodology
3.1 Data Pre-processing
3.2 BiLSTM-CNN Architecture
3.3 Pre-trained Word Embedding
4 Experiments and Results
4.1 Dataset
4.2 Hyper-parameters
4.3 Model Performance and Comparison
5 Result
6 Discussion
7 Conclusions and Future Work
References
Computational Collective Intelligence and Natural Language Processing
Causality in Probabilistic Fuzzy Logic and Alternative Causes as Fuzzy Duals
1 Introduction
2 Probabilistic-Fuzzy Logic (PFL)
3 Results
4 Conclusion
References
Enhance Trend Extraction Results by Refining with Additional Criteria
1 Introduction
2 Related Works
3 Proposed System
3.1 Data Preprocessing
3.2 Name Entity Recognition (NER)
3.3 Relation Extraction
4 Additional Criteria
4.1 Criteria I: Date Conversion
4.2 Criteria II: Main Verb Identification
4.3 Criteria III: Stock Reference
4.4 Criteria IV: Advanced Trend Extraction
5 Experiments
6 Conclusion
References
Image Captioning in Vietnamese Language Based on Deep Learning Network
1 Introduction
2 Related Works
3 Generating Vietnamese Language Caption for Scene Images
4 Experiment Results
5 Conclusions and Future Work
References
Textual Clustering: Towards a More Efficient Descriptors of Texts
1 Introduction
2 Association Rules
3 Clustering Methods
4 Methodology
5 Experimentation and Discussion
5.1 First Experimentation
5.2 Second Experimentation
6 Conclusion and Perspectives
References
Artificial Intelligence in Detecting Suicidal Content on Russian-Language Social Networks
1 Introduction
2 Background
3 Materials and Methods
3.1 Keywords
3.2 Data Collection
3.3 Dataset
4 Experiment Results
5 Data Availability
6 Discussion
7 Conclusion
References
Author Index