A Novel Deep Belief Neural Network Model for Abstractive Text Summarization
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G Dineshnath
Abstract
Everyday researchers present their research works in various formats such as research articles, reports, patents, and study chapters. All over the world, the number of submissions increases due to technology development that leads to innovations. Search results will provide numerous relevant results for a single word and it is quite difficult for beginners and also for experts to analyze the research work by reading the entire article. Text summarization has evolved to reduce this issue. It automatically examines the articles and extracts the important information from the research works. Due to specific technical aspects, conventional text summarization methods cannot be employed in the text summarization of research works. Researchers pay more attention to bring efficient scientific article text summarization and this research work aims to achieve the goal of text summarization using a deep belief neural network. Abstractive text summarization is proposed in the research work by addressing the importance of the research article summarization. This novel approach attains better performance than conventional text summarization models. The experiental results shows the superior performance of our approach.
Abstract
Everyday researchers present their research works in various formats such as research articles, reports, patents, and study chapters. All over the world, the number of submissions increases due to technology development that leads to innovations. Search results will provide numerous relevant results for a single word and it is quite difficult for beginners and also for experts to analyze the research work by reading the entire article. Text summarization has evolved to reduce this issue. It automatically examines the articles and extracts the important information from the research works. Due to specific technical aspects, conventional text summarization methods cannot be employed in the text summarization of research works. Researchers pay more attention to bring efficient scientific article text summarization and this research work aims to achieve the goal of text summarization using a deep belief neural network. Abstractive text summarization is proposed in the research work by addressing the importance of the research article summarization. This novel approach attains better performance than conventional text summarization models. The experiental results shows the superior performance of our approach.
Chapters in this book
- Frontmatter I
- Contents V
- List of Authors VII
- The Learning of Deep Learning: Overview, Methods, and Applications 1
- Foundation of Cognitive Computing 19
- Applications and Implications of Artificial Intelligence and Deep Learning in Computer Vision 35
- A Study of Voice Recognition System Using Deep Learning Techniques 53
- Building Machine Learning–Based Prediction System for Critical Diseases 75
- An Overview of Internet of Things and Machine Learning for Smart Healthcare 97
- Nutrition Food Recognition Using Deep Learning Algorithm for Physically Challenged Human Being 113
- Healthcare Data Analysis Using Deep Learning Paradigm 129
- Cognitive Authentication for Smart Healthcare System 149
- Cognitive-Inspired Computer Vision Assist System for Diabetic Retinopathy Detection from Fundus Images 165
- A Novel Deep Belief Neural Network Model for Abstractive Text Summarization 179
- Index 201
Chapters in this book
- Frontmatter I
- Contents V
- List of Authors VII
- The Learning of Deep Learning: Overview, Methods, and Applications 1
- Foundation of Cognitive Computing 19
- Applications and Implications of Artificial Intelligence and Deep Learning in Computer Vision 35
- A Study of Voice Recognition System Using Deep Learning Techniques 53
- Building Machine Learning–Based Prediction System for Critical Diseases 75
- An Overview of Internet of Things and Machine Learning for Smart Healthcare 97
- Nutrition Food Recognition Using Deep Learning Algorithm for Physically Challenged Human Being 113
- Healthcare Data Analysis Using Deep Learning Paradigm 129
- Cognitive Authentication for Smart Healthcare System 149
- Cognitive-Inspired Computer Vision Assist System for Diabetic Retinopathy Detection from Fundus Images 165
- A Novel Deep Belief Neural Network Model for Abstractive Text Summarization 179
- Index 201
