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Edité par Elsevier Science and Technology, 2023
ISBN 10 : 0323905358 ISBN 13 : 9780323905350
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
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Edité par Elsevier Science and Technology, 2023
ISBN 10 : 0323905358 ISBN 13 : 9780323905350
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Edité par Academic Press 2023-08-15, 2023
ISBN 10 : 0323905358 ISBN 13 : 9780323905350
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Edité par Elsevier Science & Technology, 2023
ISBN 10 : 0323905358 ISBN 13 : 9780323905350
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Edité par Elsevier Science & Technology, 2023
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Ajouter au panierPaperback. Etat : New. Computational Intelligence Applications for Text and Sentiment Data Analysis explores the most recent advances in text information processing and data analysis technologies, specifically focusing on sentiment analysis from multifaceted data. The book investigates a wide range of challenges involved in the accurate analysis of online sentiments, including how to i) identify subjective information from text, i.e., exclusion of 'neutral' or 'factual' comments that do not carry sentiment information, ii) identify sentiment polarity, and iii) domain dependency. Spam and fake news detection, short abbreviation, sarcasm, word negation, and a lot of word ambiguity are also explored.Further chapters look at the difficult process of extracting sentiment from different multimodal information (audio, video and text), semantic concepts. In each chapter, the book's authors explore how computational intelligence (CI) techniques, such as deep learning, convolutional neural network, fuzzy and rough set, global optimizers, and hybrid machine learning techniques play an important role in solving the inherent problems of sentiment analysis applications.
Langue: anglais
Edité par Elsevier Science & Technology, 2023
ISBN 10 : 0323905358 ISBN 13 : 9780323905350
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Ajouter au panierEtat : New. Introduces recent computational intelligence approaches to text data processing and modeling Surveys the most recent developments and challenges of multimodal data processing and sentiment analysis Presents case studies which impl.
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Langue: anglais
Edité par Elsevier Science & Technology Jul 2023, 2023
ISBN 10 : 0323905358 ISBN 13 : 9780323905350
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware - Computational Intelligence Applications for Text and Sentiment Data Analysis explores the most recent advances in text information processing and data analysis technologies, specifically focusing on sentiment analysis from multifaceted data. The book investigates a wide range of challenges involved in the accurate analysis of online sentiments, including how to i) identify subjective information from text, i.e., exclusion of 'neutral' or 'factual' comments that do not carry sentiment information, ii) identify sentiment polarity, and iii) domain dependency. Spam and fake news detection, short abbreviation, sarcasm, word negation, and a lot of word ambiguity are also explored.Further chapters look at the difficult process of extracting sentiment from different multimodal information (audio, video and text), semantic concepts. In each chapter, the book's authors explore how computational intelligence (CI) techniques, such as deep learning, convolutional neural network, fuzzy and rough set, global optimizers, and hybrid machine learning techniques play an important role in solving the inherent problems of sentiment analysis applications.
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Ajouter au panierHardcover. Etat : Like New. Like New. book.
Langue: anglais
Edité par Elsevier Science and Technology, GB, 2023
ISBN 10 : 0323905358 ISBN 13 : 9780323905350
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Ajouter au panierPaperback. Etat : New. Computational Intelligence Applications for Text and Sentiment Data Analysis explores the most recent advances in text information processing and data analysis technologies, specifically focusing on sentiment analysis from multifaceted data. The book investigates a wide range of challenges involved in the accurate analysis of online sentiments, including how to i) identify subjective information from text, i.e., exclusion of 'neutral' or 'factual' comments that do not carry sentiment information, ii) identify sentiment polarity, and iii) domain dependency. Spam and fake news detection, short abbreviation, sarcasm, word negation, and a lot of word ambiguity are also explored.Further chapters look at the difficult process of extracting sentiment from different multimodal information (audio, video and text), semantic concepts. In each chapter, the book's authors explore how computational intelligence (CI) techniques, such as deep learning, convolutional neural network, fuzzy and rough set, global optimizers, and hybrid machine learning techniques play an important role in solving the inherent problems of sentiment analysis applications.
Langue: anglais
Edité par Elsevier Science & Technology, 2023
ISBN 10 : 0323905358 ISBN 13 : 9780323905350
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Ajouter au panierTaschenbuch. Etat : Neu. Computational Intelligence Applications for Text and Sentiment Data Analysis | Abhishek Basu (u. a.) | Taschenbuch | Hybrid Computational Intelligence for Pattern Analysis and Understanding | Einband - flex.(Paperback) | Englisch | 2023 | Elsevier Science & Technology | EAN 9780323905350 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
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Ajouter au panierPaperback. Etat : Like New. Like New. book.
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Ajouter au panierHardcover. Etat : Brand New. 212 pages. 9.25x6.25x0.25 inches. In Stock.
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Ajouter au panierPaperback. Etat : Brand New. 350 pages. 9.00x6.00x0.61 inches. In Stock. This item is printed on demand.