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What is SVM

Chapter 9
Handbook of Research on Advancements of Contactless Technology and Service Innovation in Library and Information Science
An ML model uses a hyper-plane best to partition the datasets in n-dimensional space into categories. SVM is utilised for both regression and classification. Support Vector Regression (SVR), a variant of SVC, is one example of a specific sort of SVM that can be used for specific ML problems ( Gunn, 1998 ).
Published in Chapter:
Exploring Public Perceptions of COVID-19 Vaccine Adverse Effects Through Social Media Analysis
Sanduni Nimanthika (Sabaragamuwa University of Sri Lanka, Sri Lanka), Banujan Kuhaneswaran (Sabaragamuwa University of Sri Lanka, Sri Lanka), Ashansa Kithmini Wijeratne (Sabaragamuwa University of Sri Lanka, Sri Lanka), and Samantha Kumara (Sabaragamuwa University of Sri Lanka, Sri Lanka)
Copyright: © 2023 |Pages: 28
DOI: 10.4018/978-1-6684-7693-2.ch009
Abstract
This study examines social media content to identify adverse effects of COVID-19 vaccination as perceived by the public. Existing studies did not categorize tweets on vaccine adverse effects as personal experience, informative, or advice-seeking. Authors manually classified tweets into categories and used the data to train four machine learning models. LSTM algorithm yielded the highest accuracy of 90.13%. The LSTM model with GloVe embedding was determined to be most suitable. This research aims to fill a research gap and increase public awareness of COVID-19 vaccine side effects. The study highlights the importance of analyzing social media content to better understand public perception of vaccines.
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Chapter 3
Machine Learning Algorithms for 6G Wireless Networks: A Survey
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Chapter 125
Digital Video Tampering Detection Techniques
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Chapter 3
Large-Scale Renewable Energy Monitoring and Forecast Based on Intelligent Data Analysis
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Chapter 10
Machine Learning Techniques to Diagnose and Treat Cancer Disease
Support Vector Machines. It is a specific supervised learning model, that is usually applied in regression problems or in classification analysis.
Published in Chapter: Machine Learning Techniques to Diagnose and Treat Cancer Disease; From: Artificial Intelligence for Societal Development and Global Well-Being
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Chapter 51
Customer Lifetime Value Measurement using Machine Learning Techniques
Support Vector Machines is a set of related supervised learning methods which analyze data and recognize patterns.
Published in Chapter: Customer Lifetime Value Measurement using Machine Learning Techniques; From: Encyclopedia of Business Analytics and Optimization
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Chapter 3
Machine Learning Techniques to Mitigate Security Attacks in IoT
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Chapter 3
Artificial Intelligence for Extended Software Robots, Applications, Algorithms, and Simulators
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Chapter 11
Traffic Analysis of UAV Networks Using Enhanced Deep Feed Forward Neural Networks (EDFFNN)
Support vector machine. A support vector machine (SVM) is a supervised machine learning algorithm that examines data aimed at classification and regression study.
Published in Chapter: Traffic Analysis of UAV Networks Using Enhanced Deep Feed Forward Neural Networks (EDFFNN); From: Handbook of Research on Machine and Deep Learning Applications for Cyber Security
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Chapter 3
Development of Effective Electronic Customer Relationship Management (ECRM) Model by the Applications of Web Intelligence Analytics
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Chapter 3
Advanced AI Applications for Drug Discovery
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Chapter 195
An Effective Analysis Method of Discussions in Bulletin Board Sites
It is an inductive learning method. Originally, it deals with the two-class classification task. It acquires a hyperplane identifying the classes from training examples.
Published in Chapter: An Effective Analysis Method of Discussions in Bulletin Board Sites; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 3
Forecasting Techniques for the Pandemic Trend of COVID-19
A supervised learning method that analyze data for classification and regression problems by creating a line or a hyperplane which separate the data into classes.
Published in Chapter: Forecasting Techniques for the Pandemic Trend of COVID-19; From: Applied Big Data Analytics and Its Role in COVID-19 Research
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Chapter 12
Data Analytics to Predict, Detect, and Monitor Chronic Autoimmune Diseases Using Machine Learning Algorithms: Preventing Diseases With the Power of Machine Learning
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Chapter 22
Decision Fusion of Multisensor Images for Human Face Identification in Information Security
Support Vector Machine (SVM) is a supervised learning method for separating two classes by constructing maximum margin hyperplane.
Published in Chapter: Decision Fusion of Multisensor Images for Human Face Identification in Information Security; From: Handbook of Research on Computational Intelligence for Engineering, Science, and Business
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Chapter 7
Disrupting Agriculture: The Status and Prospects for AI and Big Data in Smart Agriculture
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Chapter 13
Defect Detection in Manufacturing via Machine Learning Algorithms
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Chapter 449
Predicting Students Grades Using Artificial Neural Networks and Support Vector Machine
SVM stands for Support Vector Machines which is supervised learning model, which means some of our data which we intend to use as our training set. Support vector machines are used for categorization of hypertext and text and also categorize their applications. Support vector machines are also used for transductive settings and also for standard inductive settings.
Published in Chapter: Predicting Students Grades Using Artificial Neural Networks and Support Vector Machine; From: Encyclopedia of Information Science and Technology, Fourth Edition
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Chapter 18
Machine Automation Making Cyber-Policy Violator More Resilient: A Proportionate Study
Basically, it is more popular computerized learning replicas can find in managed ML system related to knowledge-based schemes. It can examine data for sorting and retrogressive processes for automated systems.
Published in Chapter: Machine Automation Making Cyber-Policy Violator More Resilient: A Proportionate Study; From: Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science
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Chapter 7
A Study on Deep Learning Methods in the Concept of Industry 4.0
Support Vector Machine can be defined as a vector space-based machine learning method that finds a decision boundary between two classes that are farthest from any point in the training data.
Published in Chapter: A Study on Deep Learning Methods in the Concept of Industry 4.0; From: Applied AI and Multimedia Technologies for Smart Manufacturing and CPS Applications
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Chapter 16
A Study on Deep Learning Methods in the Concept of Digital Industry 4.0
Support vector machine can be defined as a vector space-based machine learning method that finds a decision boundary between two classes that are farthest from any point in the training data.
Published in Chapter: A Study on Deep Learning Methods in the Concept of Digital Industry 4.0; From: Handbook of Research on Management and Strategies for Digital Enterprise Transformation
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Chapter 9
Weed Estimation on Lettuce Crops Using Histograms of Oriented Gradients and Multispectral Images
Support-vector machine is a machine learning model based on non-probabilistic results used for linear or nonlinear regressions also as linear or nonlinear data classifications.
Published in Chapter: Weed Estimation on Lettuce Crops Using Histograms of Oriented Gradients and Multispectral Images; From: Pattern Recognition Applications in Engineering
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Chapter 1
Machine Learning for Ecological Sustainability: An Overview of Carbon Footprint Mitigation Strategies
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Chapter 11
MEDIFY: A Healthcare Chatbot Using NLP
A support vector machine (SVM) is a type of supervised machine learning method used to solve classification and regression tasks.
Published in Chapter: MEDIFY: A Healthcare Chatbot Using NLP; From: Design and Development of Emerging Chatbot Technology
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Chapter 20
Machine Learning
A learning method where the classification knowledge has the form of a separating hyperplane.
Published in Chapter: Machine Learning; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 10
The Influence of Artificial Intelligence on People With Autism Spectrum Disorder: A Methodical Literature Review
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Chapter 161
Support Vector Machines in Neuroscience
Support vector machine is a set of related supervised learning methods used for classification and regression. SVMs belong to a family of generalized linear classifiers. They can also be considered a special case of Tikhonov regularization. A special property of SVMs is that they simultaneously minimize the empirical classification error and maximize the geometric margin; hence they are also known as maximum margin classifiers.
Published in Chapter: Support Vector Machines in Neuroscience; From: Encyclopedia of Healthcare Information Systems
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Chapter 9
Social Perspective of Suspicious Activity Detection in Facial Analysis: An ML-Based Approach for Digital Transformation
In machine learning, support vector machines (SVMs, also support-vector networks) are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis.
Published in Chapter: Social Perspective of Suspicious Activity Detection in Facial Analysis: An ML-Based Approach for Digital Transformation; From: Applied AI and Multimedia Technologies for Smart Manufacturing and CPS Applications
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Chapter 6
Holistic View on Detecting DDoS Attacks Using Machine Learning
Support Vector Machines. Supervised method used for classification and regression problems, that determine which category a new data point belongs in by outputting a map of the sorted data with the margins between the two as far apart as possible.
Published in Chapter: Holistic View on Detecting DDoS Attacks Using Machine Learning; From: Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity
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Chapter 3
Leveraging AI Technologies for Preventing and Detecting Sudden Cardiac Arrest and Death
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Chapter 86
Ensemble of SVM Classifiers for Spam Filtering
Support Vector Machines classifier.
Published in Chapter: Ensemble of SVM Classifiers for Spam Filtering; From: Encyclopedia of Artificial Intelligence
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Chapter 83
Emulating Subjective Criteria in Corpus Validation
Acronym of Support Vector Machines. SVM are models able to distinguish members of classes whose limits are not lineal. This is possible by a non-linear transformation of input data mapping it into a higher-dimensionality space where data can be easily divided by a maximum margin hyperplane.
Published in Chapter: Emulating Subjective Criteria in Corpus Validation; From: Encyclopedia of Artificial Intelligence
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Chapter 45
Automated Image Analysis Approaches in Histopathology
Support Vector Machine. A classifier that builds an optimum decision boundary between classes based on a subset of labeled samples closest to the boundary. These samples are known as support vectors.
Published in Chapter: Automated Image Analysis Approaches in Histopathology; From: Handbook of Research on Systems Biology Applications in Medicine
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