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Computational Intelligence Applications for Text and Sentiment Data Analysis
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Computational Intelligence Applications for Text and Sentiment Data Analysis
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Computational Intelligence Applications for Text and Sentiment Data Analysis (Hybrid Computational Intelligence for Pattern Analysis and Understanding)
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Computational Intelligence Applications for Text and Sentiment Data Analysis (Hybrid Computational Intelligence for Pattern Analysis and Understanding)
Language: English
Published by Academic Press 2023-08-15, 2023
ISBN 10: 0323905358 ISBN 13: 9780323905350
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Computational Intelligence Applications for Text and Sentiment Data Analysis (Paperback)
Language: English
Published by Elsevier Science & Technology, Oxford, 2023
ISBN 10: 0323905358 ISBN 13: 9780323905350
Paperback. Condition: new. Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Computational Intelligence Applications for Text and Sentiment Data Analysis
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Computational Intelligence Applications for Text and Sentiment Data Analysis
Language: English
Published by Elsevier Science & Technology, 2023
ISBN 10: 0323905358 ISBN 13: 9780323905350
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Computational Intelligence Applications for Text and Sentiment Data Analysis
Language: English
Published by Elsevier Science & Technology, 2023
ISBN 10: 0323905358 ISBN 13: 9780323905350
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Computational Intelligence Applications for Text and Sentiment Data Analysis
Language: English
Published by Elsevier Science and Technology, GB, 2023
ISBN 10: 0323905358 ISBN 13: 9780323905350
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: 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.
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Computational Intelligence Applications for Text and Sentiment Data Analysis
Language: English
Published by Elsevier Science & Technology, 2023
ISBN 10: 0323905358 ISBN 13: 9780323905350
Condition: New. 2023. Paperback. . . . . . Books ship from the US and Ireland.
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Condition: 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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Computational Intelligence Applications for Text and Sentiment Data Analysis
Language: English
Published by Elsevier Science & Technology Jul 2023, 2023
ISBN 10: 0323905358 ISBN 13: 9780323905350
Taschenbuch. Condition: 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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Taschenbuch. Condition: Neu. Computational Intelligence Applications for Text and Sentiment Data Analysis | Dipankar Das (u. a.) | Taschenbuch | Hybrid Computational Intelligence for Pattern Analysis and Understanding | Einband - flex.(Paperback) | Englisch | 2023 | Elsevier Science | EAN 9780323905350 | 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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Computational Intelligence Applications for Text and Sentiment Data Analysis
Language: English
Published by Elsevier Science and Technology, GB, 2023
ISBN 10: 0323905358 ISBN 13: 9780323905350
US$ 186.81
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Add to basketPaperback. Condition: 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.
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Computational Intelligence Applications for Text and Sentiment Data Analysis (Paperback)
Language: English
Published by Elsevier Science & Technology, Oxford, 2023
ISBN 10: 0323905358 ISBN 13: 9780323905350
Paperback. Condition: new. Paperback. 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. 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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US$ 152.80
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Add to basketPaperback. Condition: Brand New. 350 pages. 9.00x6.00x0.61 inches. In Stock. This item is printed on demand.
