Sentiment analysis deep learning (28 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Zustand: New. In English.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: Brand New. 98 pages. 9.25x6.25x0.25 inches. In Stock.

Zustand: New.

Taschenbuch. Zustand: 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. …

Taschenbuch. Zustand: 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. …

Taschenbuch. Zustand: 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.…

Taschenbuch. Zustand: 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. …

Taschenbuch. Zustand: 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.…

Taschenbuch. Zustand: Neu. Deep Learning Sentiment Analysis of Hotel Reviews with BiLSTM | Deep Learning-Based Sentiment Analysis of Hotel Reviews Using LSTM and Bidirectional LSTM Models | Kadupu Durga Prasad (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209341229 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Zustand: 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.…

Zustand: New. In English.

Zustand: New. In English.

Taschenbuch. Zustand: 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.…

Paperback. Zustand: Brand New. 332 pages. 9.25x6.10x0.87 inches. In Stock.

Hardcover. Zustand: Brand New. 331 pages. 9.25x6.10x0.94 inches. In Stock.

Taschenbuch. Zustand: 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.…

Buch. Zustand: 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.…

Paperback. Zustand: Brand New. 1032 pages. 9.25x6.10x2.09 inches. In Stock.

Taschenbuch. Zustand: 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.…