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Deep Learning-Based Approaches for Sentiment Analysis

2020-01-24 Technology & Engineering
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Release : 2020-01-24
Genre : Technology & Engineering
Kind : eBook
Book Rating : 167/5 ( reviews)

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Book Synopsis Deep Learning-Based Approaches for Sentiment Analysis by : Basant Agarwal

Download or read book Deep Learning-Based Approaches for Sentiment Analysis written by Basant Agarwal. This book was released on 2020-01-24. Available in PDF, EPUB and Kindle. Book excerpt: This book covers deep-learning-based approaches for sentiment analysis, a relatively new, but fast-growing research area, which has significantly changed in the past few years. The book presents a collection of state-of-the-art approaches, focusing on the best-performing, cutting-edge solutions for the most common and difficult challenges faced in sentiment analysis research. Providing detailed explanations of the methodologies, the book is a valuable resource for researchers as well as newcomers to the field.

Deep Learning-Based Approaches for Sentiment Analysis

2021-01-25 Technology & Engineering
Download Deep Learning-Based Approaches for Sentiment Analysis PDF Online Free

Author :
Release : 2021-01-25
Genre : Technology & Engineering
Kind : eBook
Book Rating : 186/5 ( reviews)

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Book Synopsis Deep Learning-Based Approaches for Sentiment Analysis by : Basant Agarwal

Download or read book Deep Learning-Based Approaches for Sentiment Analysis written by Basant Agarwal. This book was released on 2021-01-25. Available in PDF, EPUB and Kindle. Book excerpt: This book covers deep-learning-based approaches for sentiment analysis, a relatively new, but fast-growing research area, which has significantly changed in the past few years. The book presents a collection of state-of-the-art approaches, focusing on the best-performing, cutting-edge solutions for the most common and difficult challenges faced in sentiment analysis research. Providing detailed explanations of the methodologies, the book is a valuable resource for researchers as well as newcomers to the field.

Deep Learning-based Approaches for Sentiment Analysis

2020 Data mining
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Author :
Release : 2020
Genre : Data mining
Kind : eBook
Book Rating : 179/5 ( reviews)

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Book Synopsis Deep Learning-based Approaches for Sentiment Analysis by :

Download or read book Deep Learning-based Approaches for Sentiment Analysis written by . This book was released on 2020. Available in PDF, EPUB and Kindle. Book excerpt: This book covers deep-learning-based approaches for sentiment analysis, a relatively new, but fast-growing research area, which has significantly changed in the past few years. The book presents a collection of state-of-the-art approaches, focusing on the best-performing, cutting-edge solutions for the most common and difficult challenges faced in sentiment analysis research. Providing detailed explanations of the methodologies, the book is a valuable resource for researchers as well as newcomers to the field.

Deep Learning Applications for Cyber-Physical Systems

2021-12-17 Computers
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Release : 2021-12-17
Genre : Computers
Kind : eBook
Book Rating : 636/5 ( reviews)

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Book Synopsis Deep Learning Applications for Cyber-Physical Systems by : Mundada, Monica R.

Download or read book Deep Learning Applications for Cyber-Physical Systems written by Mundada, Monica R.. This book was released on 2021-12-17. Available in PDF, EPUB and Kindle. Book excerpt: Big data generates around us constantly from daily business, custom use, engineering, and science activities. Sensory data is collected from the internet of things (IoT) and cyber-physical systems (CPS). Merely storing such a massive amount of data is meaningless, as the key point is to identify, locate, and extract valuable knowledge from big data to forecast and support services. Such extracted valuable knowledge is usually referred to as smart data. It is vital to providing suitable decisions in business, science, and engineering applications. Deep Learning Applications for Cyber-Physical Systems provides researchers a platform to present state-of-the-art innovations, research, and designs while implementing methodological and algorithmic solutions to data processing problems and designing and analyzing evolving trends in health informatics and computer-aided diagnosis in deep learning techniques in context with cyber physical systems. Covering topics such as smart medical systems, intrusion detection systems, and predictive analytics, this text is essential for computer scientists, engineers, practitioners, researchers, students, and academicians, especially those interested in the areas of internet of things, machine learning, deep learning, and cyber-physical systems.

Comparison of neutrosophic approach to various deep learning models for sentiment analysis

Mathematics
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Release :
Genre : Mathematics
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Comparison of neutrosophic approach to various deep learning models for sentiment analysis by : Mayukh Sharma

Download or read book Comparison of neutrosophic approach to various deep learning models for sentiment analysis written by Mayukh Sharma. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: Deep learning has been widely used in numerous real-world engineering applications and for classification problems. Real-world data is present with neutrality and indeterminacy, which neutrosophic theory captures clearly. Though both are currently developing research areas, there has been little study on their interlinking. We have proposed a novel framework to implement neutrosophy in deep learning models. Instead of just predicting a single class as output, we have quantified the sentiments using three membership functions to understand them better. Our proposed model consists of two blocks, feature extraction, and feature classification.

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