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ENHANCED TECHNIQUES FOR SENTIMENT ANALYSIS USING DEEP LEARNING: Simpler Approach to Analyze Emotion
Language: English
Published by LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6209114164 ISBN 13: 9786209114168
Condition: New.
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Deep Learning Methods for Sentiment Analysis Using Bert and Gru Models
Language: English
Published by LAP Lambert Academic Publishing, 2024
ISBN 10: 6208012791 ISBN 13: 9786208012793
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 67.75
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Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks (SpringerBriefs in Computer Science)
Book 293 of 322: SpringerBriefs in Computer ScienceSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 70.28
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Visual and Text Sentiment Analysis Through Hierarchical Deep Learning Networks
Book 293 of 322: SpringerBriefs in Computer ScienceLanguage: English
Published by Springer-Verlag New York Inc, 2019
ISBN 10: 9811374732 ISBN 13: 9789811374739
US$ 87.44
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Add to basketPaperback. Condition: Brand New. 98 pages. 9.25x6.25x0.25 inches. In Stock.
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Sentiment analysis of X text with deep learning
Language: English
Published by Our Knowledge Publishing, 2024
ISBN 10: 6207034287 ISBN 13: 9786207034284
Condition: New.
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Enhanced Techniques for Sentiment Analysis Using Deep Learning
Language: English
Published by LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6209114164 ISBN 13: 9786209114168
Condition: New.
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Taschenbuch. Condition: Neu. MACHINE LEARNING AND DEEP LEARNING TECHNIQUES | Sentiment Analysis Using Machine Learning and Deep Learning Techniques | Humera Khanam M. | Taschenbuch | Englisch | 2022 | Scholars' Press | EAN 9786138912422 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the latest research on hierarchical deep learning for multi-modal sentiment analysis. Further, it analyses sentiments in Twitter blogs from both textual and visual content using hierarchical deep learning networks: hierarchical gated feedback recurrent neural networks (HGFRNNs). Several studies on deep learning have been conducted to date, but most of the current methods focus on either only textual content, or only visual content. In contrast, the proposed sentiment analysis model can be applied to any social blog dataset, making the book highly beneficial for postgraduate students and researchers in deep learning and sentiment analysis. The mathematical abstraction of the sentiment analysis model is presented in a very lucid manner. The complete sentiments are analysedby combining text and visual prediction results. The book's novelty lies in its development of innovative hierarchical recurrent neural networks for analysing sentiments; stacking of multiple recurrent layers by controlling the signal flow from upper recurrent layers to lower layers through a global gating unit; evaluation of HGFRNNs with different types of recurrent units; and adaptive assignment of HGFRNN layers to different timescales.Considering the need to leverage large-scale social multimedia content for sentiment analysis, both state-of-the-art visual and textual sentiment analysis techniques are used for joint visual-textual sentiment analysis. The proposed method yields promising results from Twitter datasets that include both texts and images, which support the theoretical hypothesis.
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Taschenbuch. Condition: Neu. Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks | Arindam Chaudhuri | Taschenbuch | xix | Englisch | 2019 | Springer | EAN 9789811374739 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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ENHANCED TECHNIQUES FOR SENTIMENT ANALYSIS USING DEEP LEARNING | Simpler Approach to Analyze Emotion
Language: English
Published by LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6209114164 ISBN 13: 9786209114168
Taschenbuch. Condition: Neu. ENHANCED TECHNIQUES FOR SENTIMENT ANALYSIS USING DEEP LEARNING | Simpler Approach to Analyze Emotion | Mamatha M. (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786209114168 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
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DEEP LEARNING METHODS FOR SENTIMENT ANALYSIS USING BERT AND GRU MODELS
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208012791 ISBN 13: 9786208012793
Taschenbuch. Condition: Neu. DEEP LEARNING METHODS FOR SENTIMENT ANALYSIS USING BERT AND GRU MODELS | Najeem Olawale Adelakun | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786208012793 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Sentiment analysis of X text with deep learning | A comparative study
Language: English
Published by Our Knowledge Publishing, 2024
ISBN 10: 6207034287 ISBN 13: 9786207034284
Taschenbuch. Condition: Neu. Sentiment analysis of X text with deep learning | A comparative study | Jessica Olivares López (u. a.) | Taschenbuch | Englisch | 2024 | Our Knowledge Publishing | EAN 9786207034284 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
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Sentiment Analysis | Hybrid Deep Learning Models for Sentiment Analysis: Leveraging Text and Emoji for Improved Sentiment Classification
Language: English
Published by LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6209025587 ISBN 13: 9786209025587
Taschenbuch. Condition: Neu. Sentiment Analysis | Hybrid Deep Learning Models for Sentiment Analysis: Leveraging Text and Emoji for Improved Sentiment Classification | Arjun Kuruva (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786209025587 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
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Deep Learning-Based Approaches for Sentiment Analysis (Algorithms for Intelligent Systems)
Book 11 of 95: Algorithms for Intelligent SystemsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 190.64
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Deep Learning-Based Approaches for Sentiment Analysis (Algorithms for Intelligent Systems)
Book 11 of 95: Algorithms for Intelligent SystemsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 190.64
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Taschenbuch. Condition: Neu. Deep Learning-Based Approaches for Sentiment Analysis | Basant Agarwal (u. a.) | Taschenbuch | Algorithms for Intelligent Systems | xii | Englisch | 2021 | Springer | EAN 9789811512186 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Sentiment Analysis and Deep Learning (Paperback)
Book 538 of 540: Advances in Intelligent Systems and ComputingLanguage: English
Published by Springer Verlag, Singapore, Singapore, 2023
ISBN 10: 9811954429 ISBN 13: 9789811954429
Paperback. Condition: new. Paperback. This book gathers selected papers presented at International Conference on Sentimental Analysis and Deep Learning (ICSADL 2022), jointly organized by Tribhuvan University, Nepal and Prince of Songkla University, Thailand during 16 17 June, 2022. 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. This book gathers selected papers presented at International Conference on Sentimental Analysis and Deep Learning (ICSADL 2022), jointly organized by Tribhuvan University, Nepal and Prince of Songkla University, Thailand during 16 17 June, 2022. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Deep Learning-based Approaches for Sentiment Analysis
Book 11 of 95: Algorithms for Intelligent SystemsUS$ 284.73
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Add to basketPaperback. Condition: Brand New. 332 pages. 9.25x6.10x0.87 inches. In Stock.
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Deep Learning-Based Approaches for Sentiment Analysis
Book 11 of 95: Algorithms for Intelligent SystemsUS$ 287.01
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Add to basketHardcover. Condition: Brand New. 331 pages. 9.25x6.10x0.94 inches. In Stock.
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Sentiment Analysis and Deep Learning : Proceedings of ICSADL 2022
Book 538 of 540: Advances in Intelligent Systems and ComputingLanguage: English
Published by Springer Nature Singapore, Springer Nature Singapore, 2023
ISBN 10: 9811954429 ISBN 13: 9789811954429
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book gathers selected papers presented at International Conference on Sentimental Analysis and Deep Learning (ICSADL 2022), jointly organized by Tribhuvan University, Nepal and Prince of Songkla University, Thailand during 16 - 17 June, 2022. 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.
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Sentiment Analysis and Deep Learning: Proceedings of ICSADL 2022
Book 538 of 540: Advances in Intelligent Systems and ComputingUS$ 409.40
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Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 1032 pages. 9.25x6.10x2.09 inches. In Stock.
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Sentiment Analysis and Deep Learning (Paperback)
Book 538 of 540: Advances in Intelligent Systems and ComputingLanguage: English
Published by Springer Verlag, Singapore, Singapore, 2023
ISBN 10: 9811954429 ISBN 13: 9789811954429
Paperback. Condition: new. Paperback. This book gathers selected papers presented at International Conference on Sentimental Analysis and Deep Learning (ICSADL 2022), jointly organized by Tribhuvan University, Nepal and Prince of Songkla University, Thailand during 16 17 June, 2022. 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. This book gathers selected papers presented at International Conference on Sentimental Analysis and Deep Learning (ICSADL 2022), jointly organized by Tribhuvan University, Nepal and Prince of Songkla University, Thailand during 16 17 June, 2022. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Condition: new. Questo è un articolo print on demand.
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Deep Learning Methods for Sentiment Analysis Using Bert and Gru Models
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208012791 ISBN 13: 9786208012793
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
US$ 70.65
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
