Sentimental Analysis and Deep Learning: Proceedings of ICSADL 2021

by Ke-Lin Du, Sinchai Kamolphiwong, Subarna Shakya, Valentina Emilia Balas
Length: 1063 pages
Edition: 1
Language: English
Publisher: Springer
Publication Date: 2021-10-26
ISBN-10: 9811651566
ISBN-13: 9789811651564
Sales Rank: #0 (See Top 100 Books)
This book gathers selected papers presented at the International Conference on Sentimental Analysis and Deep Learning (ICSADL 2021), jointly organized by Tribhuvan University, Nepal; Prince of Songkla University, Thailand; and Ejesra during June, 18–19, 2021. The volume discusses state-of-the-art research works on incorporating artificial intelligence models like deep learning techniques for intelligent sentiment analysis applications. Emotions and sentiments are emerging as the most important human factors to understand the prominent user-generated semantics and perceptions from the humongous volume of user-generated data. In this scenario, sentiment analysis emerges as a significant breakthrough technology, which can automatically analyze the human emotions in the data-driven applications. Sentiment analysis gains the ability to sense the existing voluminous unstructured data and delivers a real-time analysis to efficiently automate the business processes. Meanwhile, deep learning emerges as the revolutionary paradigm with its extensive data-driven representation learning architectures. This book discusses all theoretical aspects of sentimental analysis, deep learning and related topics.
508480_1_En_BookFrontmatter_OnlinePDF
	Preface
	Acknowledgments
	Contents
	Editors and Contributors
	Analysis of Healthcare Industry Using Machine Learning Approach: A Case Study in Bengaluru Region
		1 Introduction
		2 Literature Survey
		3 Challenges Faced During Data Acquisition
		4 Methodology
			4.1 Web Scraping
			4.2 Statistical Analysis
			4.3 Natural Language Processing
			4.4 Sentimental Analysis
		5 Results and Discussion
		6 Conclusion
		References
	Dynamic Document Localization for Efficient Mining
		1 Introduction
		2 Literature Review
		3 Methodology
			3.1 Probabilistic Model for Query-Workload
			3.2 Probabilistic Model for Content-Workload
			3.3 Bernoulli Model for Rank Calculation
		4 Fuzzy Threshold Algorithms
		5 Experimental Analysis
			5.1 Effect of Attribute Suggestion to Determine Precision and Recall
			5.2 Effect of Biasing Coefficient for Determining Attribute Matches
			5.3 Effect of Database Size for Determining Precision
		6 Conclusion
		References
	SentiSeries: A Trilogy of Customer Reviews, Sentiment Analysis and Time Series
		1 Introduction
		2 Literature Review
		3 Theory of Dynamic Sentiment Tracking
			3.1 Natural Language Processing—Sentiment Analysis
			3.2 Time Series Characteristics
		4 Dataset
		5 Results and Discussions
		6 Conclusions and Future Work
		References
	Video Summarization Using Fully Convolutional Residual Dense Network
		1 Introduction
		2 Related Work
		3 Our Approach
			3.1 Problem Description
			3.2 Fully Convolutional Residual Dense Network
		4 Results
			4.1 Datasets
			4.2 Result
		5 Conclusion
		References
	An Efficient Deep Learning Approach for Detecting Pneumonia Using the Convolutional Neural Network
		1 Introduction
		2 Literature Review
		3 Material and Methods
			3.1 Dataset
			3.2 Preprocessing and Data Augmentation
			3.3 Proposed Model
		4 Result Analysis
		5 Discussion
		6 Conclusion
		References
	QMCDS: Quantum Memory for Cloud Data Storage
		1 Introduction
		2 Literature Survey
			2.1 Related Work
			2.2 Contributions
		3 Preliminaries
			3.1 Qubit
			3.2 Representation of Quantum Gates
			3.3 Bloch Sphere
		4 Proposed Solution
		5 Experiments and Observation
		6 Conclusion and Future Scope
		References
	A Study Towards Bangla Fake News Detection Using Machine Learning and Deep Learning
		1 Introduction
		2 Related Works
		3 Proposed Research Methodology (PRM)
			3.1 Experimental Setup
			3.2 Data Preparation Pipeline (DPP)
			3.3 Features Extraction Methods (FEM)
			3.4 Algorithm Selection Procedure (ASP)
		4 Result and Analysis
			4.1 Performance Analysis (PA)
			4.2 Comparative Analysis (CA)
		5 Conclusions and Future Work
		References
	A Deep Learning Approach to Analyze the Propagation of Pandemic in America
		1 Introduction
			1.1 The Goal of the Paper and Its Contributions
			1.2 Organization
		2 The Architecture of the Framework
		3 Proposed SIR Model
		4 Proposed Algorithm
		5 Performance Evaluation
			5.1 Results
		6 Discussion
		7 Conclusion and Future Research
		References
	Graph Convolution-Based Joint Learning of Rumor with Content, User Credibility, Propagation Context, and Cognitive as Well as Emotion Signals
		1 Introduction
		2 Existing Work
			2.1 Rumor Detection and Veracity Classification
			2.2 Emotion Research and Application of Emotion in Fake News and Rumor Research
			2.3 Cognitive Signals in Disinformation Research
		3 Dataset
		4 Analysis of Cognitive and Emotion Patterns in Rumor and Non-rumor
		5 Methodology
		6 Results and Analysis
		7 Conclusion and Future Work
		References
	Deep Learning-Based Real-Time Object Classification and Recognition Using Supervised Learning Approach
		1 Introduction
		2 Literature Survey
		3 Proposed System
		4 Results and Analysis
			4.1 Performance Analysis [15–19]
		5 Conclusion and Future Work
		References
	Single-Channel Speech Enhancement in Modulation Domain Using Particle Swarm Optimization
		1 Introduction
		2 Spectral Subtraction
			2.1 Modulation Domain Spectral Subtraction
		3 Standard Particle Swarm Optimization
		4 Proposed Noise Estimation Using PSO
		5 Results
		6 Conclusion
		References
	Pneumonia and Diabetic Retinopathy Detection Using Deep Learning Algorithm
		1 Introduction
		2 Related Work
		3 Research Gap
		4 Problem Definition
		5 Methodology
			5.1 Algorithm Used- Convolutional Neural Networks
			5.2 Data Pre-processing
			5.3 Model Information
			5.4 Datasets Used
		6 Results
			6.1 Screenshots of Results
		7 Conclusion
		8 Future Scope
		References
	Design of IoT-Based Improved Multimodal Ant Colony Optimızation (MM-ACO) Algorithm for Real-Time Applications
		1 Introduction
		2 Existing System
		3 Proposed Algorithm
		4 Conclusion
		References
	An Interview Transcriber Using Natural Language Processing
		1 Introduction
		2 Literature Review
		3 Proposed System Methodology
		4 Information Extraction
			4.1 Approaches to Extract Information
		5 Textual Similarity
			5.1 Approaches for Text Pre-processing
		6 Observed Results
			6.1 Extracting Information Using Keywords
			6.2 Extracting Information Based on Similar Pool of Words
		7 Work Embeddings for Future Deeper Approaches Like Word2Vec
			7.1 Word2Vec
		8 Conclusion and Future Scope
		References
	Plagiarism Detection for Source Codes and Texts
		1 Introduction
		2 Objectives
		3 Literature Review
		4 Proposed Work
		5 Experimental Analysis
		6 Result and Discussion
		7 Conclusion
		References
	Investigation of Kinetic Energy Harvesting from Human Body Motion Activities Using Free/Impact Electromagnetic Generator
		1 Introduction
		2 Literature Review
		3 Methodology
			3.1 Storage of Harvested Energy
			3.2 The Designed Structure of Biomechanical Hip Energy Harvester
		4 Results and Discussion
			4.1 Hip Joint Gait Cycle
			4.2 Positioning the Angle of Harvester
			4.3 Hip Joint Gait Harvesting at Walking Speed 80 M/Min
		5 Conclusion
		References
	Automated Determination of Critical Temperature
		1 Introduction
			1.1 Critical Temperature
			1.2 Machine Learning Algorithms
			1.3 Dataset
		2 Literature Survey
		3 Methodology
			3.1 Algorithm Followed for Developing the Models
			3.2 Data Preprocessing
			3.3 Working of the Models
			3.4 Model Training
			3.5 Model Testing
			3.6 Model Performance Determination
		4 Results and Discussion
		5 Conclusion
		References
	ANN-based Hybridization Approach for Detection of Cardiac Disease
		1 Introduction
			1.1 Feedforward Networks (FFN)
			1.2 Feedback Networks
			1.3 ANN Learning
		2 Literature Review
		3 Problem Formulation
		4 Proposed System
		5 Algorithms
			5.1 Artificial Neural Network (ANN)
			5.2 Gradient Descent Algorithm
			5.3 Genetic Algorithm
		6 Error Back Propagation (EBP)
		7 Machine Learning Network
		8 Benefits of Genetic Algorithm in Neural Network
		9 Tests and Results
		10 Conclusion and Future Scope
		References
	The Implementation of Enhanced K-Strange Points Clustering Method in Classifying Undergraduate Thesis Titles
		1 Introduction
			1.1 Motivation
		2 Illustration of Enhanced K-Strange Points Clustering Algorithm
		3 Research Method
			3.1 Research Data
			3.2 Text Mining
			3.3 Enhanced K-Strange Points Clustering Algorithm
			3.4 Silhouette Coefficient Testing
		4 Mathematical Illustration
			4.1 Step I: Finding the Minimum of the Dataset (Kmin)
			4.2 Step II: Finding the Maximum of the Dataset (Kmax)
			4.3 Step III: Finding the Third Strange Point
			4.4 Step IV: Correcting the K-Strange Point
			4.5 Step V: Assigning Points to Respective Clusters
		5 Result and Discussion
			5.1 Collect Data
			5.2 Text Parsing
			5.3 The Process of Document Clustering
			5.4 Testing
		6 Conclusion
		References
	Spam Email Detection Using Machine Learning and Neural Networks
		1 Introduction
		2 Literature Review
			2.1 Existing System
		3 Proposed Methodology
			3.1 Data Set Reading and Inspection
			3.2 Text Preprocessing
			3.3 Feature Sets and Vectorization
			3.4 Pipeline and Modeling
		4 Results
		5 Conclusion
		References
	Online Appointment Management System in Hospitals Using Distributed Resource Allocation Algorithm
		1 Introduction
		2 Literature Survey
		3 Proposed System
			3.1 Module Description
			3.2 Distributed Resource Allocation Algorithm
			3.3 Data Flow
		4 Experimental Result
		5 Conclusion
		References
	BeFit—A Real-Time Workout Analyzer
		1 Introduction
		2 Related Work
		3 Methodology Adopted
			3.1 Working of PoseNet Model
			3.2 Comparison Analysis
			3.3 Detecting User’s Pose
			3.4 Getting Pose from Yoga/Gym Workout Selected
			3.5 Comparing the Skeletons
			3.6 Data Stream Handling
		4 Final Implementation
		5 Advantages
		6 Future Scope
		7 Results
		8 Conclusion
		References
	Analysis of Car Damage for Personal Auto Claim Using CNN
		1 Introduction
		2 Literature Survey
		3 Design
		4 Proposed Method
		5 Results and Simulation
		6 Conclusion
		References
	On the Analysis Problem of the Attribute-Based Access Control Model HGABAC
		1 Introduction
		2 HGABAC: An ABAC Model and Its Administrative Model GRUAG
		3 Automated Analysis Technique for GURAG System
		4 Evaluation
		5 Conclusions
		References
	The Freshness of Food Detection Using IoT and Machine Learning
		1 Introduction
		2 Literature Survey
		3 Methodology
			3.1 Components Required
			3.2 Result
			3.3 Machine Learning Algorithms
			3.4 Cloud Platform Integration
		4 Future Scope and Applications
		5 Conclusion
		References
	Prediction of Signal Drop Due to Rain at User Cellular Signal Reception
		1 Introduction
		2 Motivation
		3 Methodology
		4 Literature Survey
		5 Result and Analysis
		6 Conclusion
		7 Future Scope
		References
	Wavelet Decomposition Methodology for Improved Retinal Blood Vessel Segmentation
		1 Introduction
		2 Inferences from the Literature Review
		3 Method Proposed
			3.1 Data Acquisition
		4 Results of the Simulation
			4.1 Performance Metrics
		5 Setup Used and Relevant Discussions
		6 Conclusion and Future Scope
		References
	Exploring the Performance of Ensemble Machine Learning Classifiers for Sentiment Analysis of COVID-19 Tweets
		1 Introduction
		2 Research Method
			2.1 Data Acquisition
			2.2 Data Preprocessing
			2.3 Data Labeling
			2.4 Data Oversampling
			2.5 Data Embedding
			2.6 Developing and Analyzing ML Models
		3 Analyzing Machine Learning Models
			3.1 Voting Classifier
			3.2 Bagging Classifier
			3.3 Stacking Classifier
			3.4 Comparative Analysis
		4 Conclusions
		References
	Implementation of Bayesian Network Model (BN Trust Model) for IoT Routing
		1 Introductıon
			1.1 Trust System
		2 Proposed System Model of IoT Using BN
			2.1 Bayesıan Networks (BN)
			2.2 Algorıthm for Baysıan Netoworks
		3 Constructıon of Bayesıan Network
		4 Resutls and Dıscussıons
		5 Conclusion
		References
	Bioinformatics: The Importance of Data Mining Techniques
		1 Introduction
		2 Bioinformatics Challenges
		3 Data Mining Techniques in Bioinformatics
			3.1 Classification
			3.2 Clustering
			3.3 Association
			3.4 Outlier Detection
			3.5 Tracking Patterns and Prediction
		4 Utilization of Bioinformatics and Data Mining in Disease Prediction
		5 Future Scopes
		6 Conclusion
		References
	Comparative Analysis of Different Deep Learning Techniques for Relation Extraction from Biomedıcal Literature
		1 Introduction
		2 Related Work
		3 Biomedical Relation Extraction
			3.1 Preprocessing
			3.2 Representation Learning
			3.3 Embedding Layer
			3.4 SMOTE
			3.5 k-means SMOTE
			3.6 Deep Learning Models
		4 Result and Analysis
			4.1 Datasets
			4.2 Comparison of Deep Learning Model
			4.3 SMOTE and k-means SMOTE
		5 Conclusion and Future Work
		References
	Classification of the Suicide-Related Text Data Using Passive Aggressive Classifier
		1 Introduction
		2 Literature Survey
		3 Proposed System
		4 Experimental Results
		5 Conclusion
		References
		Covid-19 Data Analysis to Predict the Level of Hospitalization
			1 Introduction
			2 Literature Review
			3 Machine Learning Algorithm
			4 Methodology
				4.1 Covid-19 Data Analysis Model Using Naïve Bayes
				4.2 Algorithm
			5 Implementation and Results
				5.1 System Specification and Dataset
				5.2 Results and Discussion
				5.3 Performance Analysis
				5.4 Webpage Design for User Interface
			6 Conclusion
			References
		Analysis the Accuracy of Rice Grains Quality Using Neural Networks
			1 Introduction
			2 Literature Survey
			3 Size and Appearance
			4 Architectural Diagram
			5 Multilayer Perceptron
			6 Support Vector Machine
			7 Working Model
			8 Computing SVM Classifier
			9 Conclusion
			10 Future Work
			References
			Smart Food Fare Canteen: Automation of Bills and Serving
				1 Introduction
				2 Literature Review
				3 Proposed Approach
				4 Results
				5 Conclusion
				References
			Activation Functions Instituted Clustering for Automated Generation of Programming Code Contracts
				1 Introduction
				2 Related Works
				3 Methodology for Optimization and Ranking of Programming Contracts
				4 Results and Discussion
				5 Conclusions
				References
				Voice Signal-Based COVID-19 Detection Using Ensemble Neural Network
					1 Introduction
					2 Methodology
						2.1 Data Collection
						2.2 Audio Data Assessment
						2.3 Audio Data Preprocessing
						2.4 Feature Extraction
						2.5 Labels
						2.6 Ensemble Neural Network
					3 Test and Discussion
					4 Conclusion
					References
				A Performance Metrics Estimation of Spade, Prefix Span, Fast, and Lapin Algorithms
					1 Introduction
					2 Literature Survey
					3 Sequential Pattern Mining
						3.1 PREFİXSPAN
						3.2 SPADE
						3.3 FAST Algorithm
						3.4 LAPİN Algorithm
					4 Comparative Analysis
						4.1 Comparative Analysis of SPADE, Prefıx Span, FAST and LAPIN
						4.2 Comparative Analysis of FAST and LAPIN Algorithms
					5 Results
					6 Conclusion
					References
				Prediction and Classification of Cardiac Arrhythmia
					1 Introduction
						1.1 Need of Project
						1.2 Objectives
					2 Literature Survey
					3 Proposed Model
					4 Implementation and Results
					5 Conclusion
					References
				Impact of Variation of Temperature on PEM Fuel Cell-Based Power Converters
					1 Introduction
					2 Power Converters Applications in Fuel Cell-Based Energy System
					3 Modelling of Power Converters
						3.1 Boost Converter Modelling
						3.2 Buck Converter Modelling
						3.3 Buck Boost Converter Modelling
					4 Modelling of PEMFC
					5 Simulation Results
						5.1 Circuit Model Graphical Computational Implementation of Boost Converter in Simulink Platform
						5.2 Circuit Model Implementation of Buck Converter in Simulink Platform
						5.3 Circuit Model Computational Implementation of Buck Boost Converter in Simulink Platform
						5.4 Circuit Model Implementation of PEMFC in Simulink Platform
						5.5 Circuit Model for Variation of Temperature on PEMFC Based Boost Converter
						5.6 Circuit Model for Variation of Temperature on PEMFC Based Buck Converter
						5.7 Circuit Model for Variation of Temperature on PEMFC Based Buck Boost Converter
					6 Conclusion and Future Scope
					References
				Qgen: An Automatic Question Paper Generator
					1 Introduction
					2 Related Works
					3 Design
						3.1 System Architecture
						3.2 Question Classification
						3.3 Pictorial Representation
					4 İmplementation
					5 Results
					6 Conclusion
					7 Discussions and Future Scope
					References
				Fundamental Frequency Extraction of Noisy Speech Using Exponent Enhancement in Weighted Autocorrelation
					1 Introduction
					2 Proposed Method
					3 Experimental Results and Discussion
						3.1 Preliminary Experiments
						3.2 Performance Comparison
					4 Conclusion
					References
				Solar-Powered Multipurpose Agro-Utility System
					1 Introduction
					2 Problem Statements
					3 Literature Survey
					4 Objectives
					5 Methodology
					6 Components
					7 Working
					8 Results and Discussion
					References
				A Performance Analysis of Supervised Machine Learning Techniques for COVID-19 and Happiness Report Dataset
					1 Introduction
					2 Literature Review
					3 Proposed System
					4 Experimental Results and Discussion
						4.1 Data Visualization
						4.2 Data Preprocessing
						4.3 Machine Learning Algorithms
					5 Conclusion
					References
				Predicting Telecom Customer’s Switch Over Intentions Using Machine Learning Algorithms
					1 Introduction
					2 Review of Literature
					3 Research Methodology
					4 Data Analysıs
					5 Comparıson of Results
					6 Conclusion
					7 Future Work and Limitations
					References
				Detect CLAMAV Virus Signatures Using Restricted Features
					1 Introduction
					2 Literature Survey
					3 Existing Techniques
					4 Proposed System
					5 Implementation
					6 Results
					7 Conclusions and Future Work
					References
				A Review of Mesh Generation in ANUGA
					1 Introduction
					2 How ANUGA Works
					3 Mesh Generation
					4 Mesh Generation in ANUGA
					5 Proposed Regular Mesh
					6 Comparison Between Irregular Mesh Generated by ANUGA and Proposed Regular Mesh
					7 Importance of Mesh Representation
					8 Conclusion
					References
				Modeling and Analysis of Tsunami Wave Propagation Characteristics in the Coast of Bay of Bengal
					1 Introduction
					2 Methods
						2.1 Selection of Zone for Modeling
						2.2 Generation of Tsunami
						2.3 Propagation of Tsunami
					3 Results and Discussion
					4 Limitations
					5 Conclusion
					References
				An Android Application for University-Based Academic Solution for Crisis Situation
					1 Introduction
					2 Taxonomy of Research
					3 Case Study
						3.1 Participant Type One
						3.2 Participant Types Two
						3.3 Participant Type Three
						3.4 Participant Type Four
						3.5 Participant Type Five
					4 Experiments
					5 Results
					6 Conclusion
					References
				Never Underestimate Substitution Cipher with Diffusion
					1 Introduction
					2 Substitution Cipher
						2.1 Mono-alphabetic Substitution Cipher
						2.2 Poly-alphabetic Substitution Cipher
					3 Proposed Model
						3.1 Generation of LUT
						3.2 Shuffling of LUT
					4 Perfect Diffusion
					5 Properties of the Random LUT
						5.1 Expected Differential Characteristics
						5.2 Expected Linear Characteristics
					6 Case Study
					7 Conclusions
					References
				Kannada Sentiment Analysis Using Vectorization and Machine Learning
					1 Introduction
					2 Background
						2.1 Sentiment Analysis in Different Languages
						2.2 Indian Language Sentiment Analysis
						2.3 Kannada Language Sentiment Analysis
					3 Methodology
						3.1 Data Collection
						3.2 Pre-processing Technique
						3.3 Feature Extraction Technique
						3.4 Hybrid-Classification Algorithm
						3.5 Evaluation
					4 Experimental Results
						4.1 Result Analysis
					5 Conclusion
					References
				Human Activity Recognition Using 1D Convolutional Neural Network
					1 Introduction
					2 Related Works
					3 Proposed Methodology
						3.1 Dataset Collection
						3.2 Data Preprocessing
						3.3 Data Training
						3.4 Applied Model
						3.5 Fit and Evaluate Model
					4 Result
						4.1 Performance Comparison with Previous Research Work
						4.2 Discussion and Future Scope
						4.3 Challenges in HAR
					5 Conclusion
					References
				Language and Era Prediction of Digitized Indian Manuscripts Using Convolutional Neural Networks
					1 Introduction
					2 Literature Review
						2.1 Language Prediction
						2.2 Era Prediction
					3 Problem Statement
					4 Methodology
						4.1 Dataset
						4.2 Image Pre-processing
						4.3 Data Augmentation
						4.4 Convolution Neural Network Models
					5 Results
						5.1 Language Prediction Model
						5.2 Era Prediction Model
						5.3 Validation
					6 Discussion
					7 Conclusion
					References
				Continuous Chain Fibonacci: Knowledge Management System with Chatbot
					1 Introduction
					2 Related Works
					3 Proposed System
						3.1 Cliq Platform
						3.2 About FAQ Bot
						3.3 Posting a Query
						3.4 Responding to the Query
						3.5 Other Functions
					4 Proposed Algorithm
					5 Results
					6 Conclusion
					References
				Management of IoT Devices Security Using Blockchain—A Review
					1 Introduction
						1.1 History of Internet of Things (IoT)
					2 Features of Blockchain
					3 Related Work
					4 Challenges Faced by IoT Devices Security
					5 Conclusion
					References
				Role of the Procedures of Deep Learning for Higher Profitability in the Agriculture Sector
					1 Introduction
					2 Procedures of Deep Learning Used for Comparisons
						2.1 CALEX
						2.2 FARMSYS
						2.3 ANN
						2.4 Demeter System
					3 Comparison of CALEX, FARMSYS, ANN and Demeter System
					4 Conclusion
					References
				Retinal Encryption Using Snnipet Pixel XOR with Huffman Sequential Encoding for Privacy Augmentation
					1 Introduction
					2 Existing Methodology
					3 Proposed Method
						3.1 Exclusive-OR (XOR)
						3.2 Algorithm
					4 Simulation Results
					5 Conclusion and Future Work
					References
				Automatic Text Summarization Using Deep Learning and Reinforcement Learning
					1 Introduction
					2 Literature Survey
					3 Design
						3.1 Architecture
						3.2 Latent Semantic Analysis
						3.3 Deep Q Network
						3.4 Rouge
					4 Experiment
						4.1 Dataset
					5 Discussion and Conclusion
					References
				An Analysis and Application of HRMS Tools in Industries
					1 Introduction
					2 Literature Survey
					3 Proposed Methodology
					4 Proposed Algorithm
					5 Experimental Results
					6 Conclusion
					7 Future Scope
						7.1 Bulk Emailing
						7.2 Email Template for Leave and Salary Slips
						7.3 Profile Data from LinkedIn
						7.4 Data Compression
						7.5 Automatic SMTP Connection
					References
				Resource Allocation and Power Management in Cloud Servers Using Deep Reinforcement Learning
					1 Introduction
					2 Related Work
					3 Methodology
						3.1 Data Collection and Analysis
						3.2 Implementation
					4 Results
					5 Conclusion
					References
				System for Analyzing Crime News by Mining Live Data Streams with Preserving Data Privacy
					1 Introduction
					2 System Flow
						2.1 Twitter Streaming Module
						2.2 News Streaming Module
					3 Data Extraction
						3.1 Twitter Streaming API
						3.2 News Web sites
					4 Preprocessing
					5 Privacy Preservation
					6 Knowledge Extraction
					7 Data Visualization
					8 Limitations of the System
					9 Conclusion and Future Work
					References
				Webpage Portal for Crowd Sourcing on Food Waste Management
					1 Introduction
					2 Literature Review
					3 Proposed System
					4 Module Description
						4.1 Administration
						4.2 User Registration and Login
						4.3 Database Creation
						4.4 Donation of Excess or Leftover Food
						4.5 Claiming the Excess Food
						4.6 Allocation of Finder to a Donor
					5 Methodology
						5.1 Web Application Creation
						5.2 Database Creation
						5.3 Deploying in Web Server
					6 Results
					7 Conclusion
					8 Future Scope
					References
				Extensive Analysis of Global Presidents’ Speeches Using Natural Language
					1 Introduction
					2 Related Work and Background
					3 Problem Identification
					4 Proposed Solution
					5 Scientific Reasons
						5.1 Datasets
					6 Experiments and Methodologies
					7 Architecture
					8 Conclusion
					References
				Photo-Realistic Virtual Try-On with Enhanced Warping Module
					1 Introduction
					2 Literature Survey
					3 Photo-Realistic Virtual Try-On with Enhanced Warping Module
						3.1 Overview of Architecture
						3.2 Algorithm
						3.3 Pose Estimator and Parser
						3.4 Semantic Layout Generator
						3.5 Enhanced Warping Module
						3.6 Key-Points Detection
						3.7 Key-Points Prediction Network (KPN)
						3.8 Content Fusion Module (CFM)
					4 Results and Discussions
					5 Conclusion and Future Scope
					References
				Convolutional Neural Networks Hyperparameters Optimization Using Sine Cosine Algorithm
					1 Introduction
						1.1 Optimizing the Hyperparameters of Convolutional Neural Networks
						1.2 Objectives
						1.3 Structure of the Paper
					2 Overview of Convolutional Neural Network and Related Work
					3 Proposed Method
					4 Experimental Setup and Analysis
					5 Conclusion
					References
				A Novel Approach to Detect Low Quality Deepfake Videos
					1 Introduction
					2 Related Work
						2.1 Support Vector Machine(SVM)
						2.2 Convolutional Neural Network(CNN)
						2.3 CNN with Long Short Term Memory (LSTM)
						2.4 Super Resolution
					3 Research Gap
					4 Proposed System
						4.1 Deepfake Detection Model
						4.2 Super Resolution Architecture
						4.3 Preprocessing Stage
						4.4 CNN Architecture
						4.5 LSTM
					5 Dataset
						5.1 Training and Testing
					6 Results and Analysis
					7 Conclusion
					8 Future Work
					References
				Epileptic Seizure Detection Using Deep Bidirectional Long Short-Term Memory Network
					1 Introduction
					2 Related Works
					3 Dataset Description
					4 Methodology
						4.1 Initial Data Pre-processing
						4.2 Two-Layer Stacked-Bidirectional LSTM
					5 Results and Discussion
						5.1 Confusion Matrix
						5.2 Statistical Parameters Observation
						5.3 ROC Area Under Curve (AUC) Score
						5.4 Model Predictions
					6 Conclusion and Future Scope
					References
				Disease Detection in Crop Management Using Ensemble Machine Learning
					1 Introduction
						1.1 Machine Learning in Agriculture
					2 Related Work
					3 Disease Detection—Methodology
						3.1 Dataset Description
					4 Results and Discussion
					5 Conclusion
					References
				SVM, CNN and VGG16 Classifiers of Artificial Intelligence Used for the Detection of Diseases of Rice Crop: A Review
					1 Introduction
					2 Classifiers Used for Automation Approaches
						2.1 Support Vector Machine
						2.2 Convolutional Neural Network
						2.3 VGG
					3 Methodology
						3.1 Comparison
					4 Conclusion
					References
				Smart Dark Pattern Detection: Making Aware of Misleading Patterns Through the Intended App
					1 Introduction
					2 Literature Review
					3 Proposed Work
					4 Results
					5 Conclusion
					References
				Use of a Recurrent Neural Network to Identify Spammers on Twitter
					1 Introduction
					2 Related Work
					3 Proposed System
						3.1 Proposed System Benefits
						3.2 Proposed System Architecture
						3.3 Algorithm
					4 Results and Discussion
					5 Conclusion
					References
				Computer-Aided Diagnosis of Pancreatic Ductal Adenocarcinoma Using Machine Learning Techniques
					1 Introduction
					2 Existing Diagnostic Markers for the Early Detection Pancreatic Ductal Adenocarcinoma
						2.1 Different Approaches in the Early Diagnosis of Pancreatic Ductal Adenocarcinoma Using Various Biomarkers
					3 Proposed Work
						3.1 Introduction
						3.2 Challenges and Possibilities of Early Detection of Pancreatic Cancer
						3.3 Research Design Process
						3.4 Proposed Methodology
						3.5 Results and Discussion
					4 Conclusion
					References
				Application of Data Mining Technique for Retail Industry
					1 Introduction
					2 Research Objective
						2.1 Literature Review
						2.2 Proposed Methodology
						2.3 Implementation Process Flow
					3 Data Collection and Analysis
					4 Results and Discussion
						4.1 Cluster Analysis
					5 Conclusion and Future Work
					References
				Online System for Identifying Need of Machine Maintenance by Mining Data Streams and Handling Concept Drifts
					1 Introduction
					2 Proposed System
						2.1 Dataset
						2.2 Stream Application
						2.3 Concept Drift
						2.4 Detecting Concept Drift
						2.5 Handling Concept Drift
						2.6 OEE Analysis
						2.7 Data Visualization
					3 Results
						3.1 OEE Dashboard
						3.2 Availability Dashboard
						3.3 Performance Dashboard
						3.4 Quality Dashboard
					4 Limitations of the System
					5 Conclusion and Future Work
					References
				Hybrid Model for Sentiment Analysis Based on Both Text and Audio Data
					1 Introduction
					2 Sentiment Analysis
						2.1 Motivation
						2.2 Sentiment Analysis by Text
						2.3 Sentiment Analysis by Sound
						2.4 Hybrid Sentiment Analysis Model
					3 Conclusions
					References
				Salesforce Vaccine for Real-Time Service in Cloud
					1 Introduction
						1.1 Healthcare Organizations
						1.2 Business Organizations
						1.3 Non-profit Organization
					2 How to Implement the Right Solution for Vaccine Management System
						2.1 Preparation
						2.2 Awareness and Outreach
						2.3 Administration
						2.4 Program Monitoring and Community Safety
						2.5 Wrap Up
					3 Conclusion
					References
				Prediction of Inborn Talents Using Fingerprint Analysis
					1 Introduction
					2 Related Work
					3 Dataset
					4 Proposed System
						4.1 Pattern Recognition Using CNN
						4.2 Minutiae Extraction and Singularity Detection
						4.3 Contour Counting
						4.4 Neuron Distribution and Brain Dominance Formulae
						4.5 Report Generation
					5 Results
					6 Conclusion
					References
Author Index