Computational Intelligence Applications Text (26 results)
Computational Intelligence Applications for Text and Sentiment Data Analysis
Das, Dipankar (EDT); Kolya, Anup Kumar (EDT); Basu, Abhishek (EDT); Sarkar, Soham (EDT)
- Softcover
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Computational Intelligence Applications for Text and Sentiment Data Analysis
Das, Dipankar (EDT); Kolya, Anup Kumar (EDT); Basu, Abhishek (EDT); Sarkar, Soham (EDT)
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Computational Intelligence Applications for Text and Sentiment Data Analysis
Das, Dipankar (EDT); Kolya, Anup Kumar (EDT); Basu, Abhishek (EDT); Sarkar, Soham (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
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- Softcover
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Computational Intelligence Applications for Text and Sentiment Data Analysis
Das, Dipankar (EDT); Kolya, Anup Kumar (EDT); Basu, Abhishek (EDT); Sarkar, Soham (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
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- Softcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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- Softcover
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Condition: New. 2023. Paperback. . . . . .
- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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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.
- Softcover
Seller: moluna, Greven, Germanymoluna
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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.
- Softcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Condition: New. 2023. Paperback. . . . . . Books ship from the US and Ireland.
Kernel-based Data Fusion for Machine Learning: Methods and Applications in Bioinformatics and Text Mining (Studies in Computational Intelligence, 345)
Yu, Shi; Tranchevent, Léon-Charles; Moor, Bart; Moreau, Yves
- Softcover
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Kernel-based Data Fusion for Machine Learning: Methods and Applications in Bioinformatics and Text Mining (Studies in Computational Intelligence, 345)
Yu, Shi; Tranchevent, Léon-Charles; Moor, Bart; Moreau, Yves
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Softcover
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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.
Kernel-based Data Fusion for Machine Learning: Methods and Applications in Bioinformatics and Text Mining (Studies in Computational Intelligence)
Yu, Shi, Tranchevent, Léon-Charles, Moor, Bart, Moreau, Yves
- Hardcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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Hardcover. Condition: Like New. Like New. book.
More images- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: 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 | Verantwort…liche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
- Softcover
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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.
Kernel-based Data Fusion for Machine Learning: Methods and Applications in Bioinformatics and Text Mining (Studies in Computational Intelligence (345))
Yu, Shi, Tranchevent, Léon-Charles, Moor, Bart, Moreau, Yves
- Softcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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Paperback. Condition: Like New. Like New. book.
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 212 pages. 9.25x6.25x0.25 inches. In Stock.
- Softcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
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Computational Intelligence Applications for Text and Sentiment Data Analysis
Das, Dipankar (Editor)/ Kolya, Anup Kumar (Editor)/ Basu, Abhishek (Editor)/ Sarkar, Soham (Editor)
- Softcover
- Print on Demand
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 350 pages. 9.00x6.00x0.61 inches. In Stock. This item is printed on demand.
