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Joshi Aditya (57 results)
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Land of the Nagas
Language: English
Published by Mapin Publishing Gp Pty Ltd, 2006
ISBN 10: 0944142788 ISBN 13: 9780944142783
Hardcover. Condition: New. In Publisher's Shrinkwrap. 128 pages. 116 color photographs. U.S. orders are shipped from N.Y. state.
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Soft cover. Condition: New. ISBN:9789357462389,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.
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Land of the Nagas
Language: English
Published by Mapin Publishing Pvt. Ltd, 2004
ISBN 10: 0944142788 ISBN 13: 9780944142783
Seller: Powell's Bookstores Chicago, ABAA, Chicago, IL, U.S.A.
Seller rating 4 out of 5 stars
Hardcover. Condition: Very good. Dust Jacket Condition: Very good. Cloth, dj. Quarto. Minor shelf wear. Else a bright, clean copy.
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Land of the Nagas
Language: English
Published by Mapin Publishing Gp Pty Ltd, 2006
ISBN 10: 0944142788 ISBN 13: 9780944142783
Hardcover. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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Condition: New. pp. 420.
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Condition: New. pp. 420.
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The Last Alchemist: The story of a search for life's meaning
Language: English
Published by Independently published, 2017
ISBN 10: 1521425299 ISBN 13: 9781521425299
US$ 22.64
US$ 16.67 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: Brand New. 141 pages. 8.00x5.00x0.32 inches. In Stock.
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Hardcover. Condition: New. Dust Jacket Condition: New. 128p, ills.
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Condition: New. Brand New, Softcover edition. This item may ship from the US or our Overseas warehouse depending on your location and stock availability.
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Condition: New.
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Condition: As New. Unread book in perfect condition.
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International EditionUS$ 45.18
US$ 7.99 shipping
Ships from United Kingdom to U.S.A.Quantity: 10 available
Add to basketPaperback. Condition: New. Brand New ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Condition: As New. Unread book in perfect condition.
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Paperback or Softback. Condition: New. Universal Beauty: Exploring Cultures, Trends, and Traditions. Book.
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Condition: New. 1st ed. edition NO-PA16APR2015-KAP.
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Universal Beauty: Exploring Cultures, Trends, and Traditions
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 27.86
US$ 15.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Hands-on Machine Learning With Python : Implement Neural Network Solutions With Scikit-learn and Pytorch
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 60.71
US$ 20.00 shipping
Ships from United Kingdom to U.S.A.Quantity: 10 available
Add to basketCondition: As New. Unread book in perfect condition.
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Hands-on Machine Learning With Python : Implement Neural Network Solutions With Scikit-learn and Pytorch
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 64.65
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Ships from United Kingdom to U.S.A.Quantity: 10 available
Add to basketCondition: New.
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Universal Beauty: Exploring Cultures, Trends, and Traditions
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 27.84
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Add to basketCondition: New.
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Universal Beauty: Exploring Cultures, Trends, and Traditions
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 31.78
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Add to basketCondition: As New. Unread book in perfect condition.
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Investigations in Computational Sarcasm
Book 23 of 31: Cognitive Systems MonographsLanguage: English
Published by Springer Nature Singapore, 2018
ISBN 10: 9811083959 ISBN 13: 9789811083952
Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book describes the authorsż investigations of computational sarcasm based on the notion of incongruity. In addition, it provides a holistic view of past work in computational sarcasm and the challenges and opportunities that lie ahead. Sarcastic text is a peculiar form of sentiment expression and computational sarcasm refers to computational techniques that process sarcastic text. To first understand the phenomenon of sarcasm, three studies are conducted: (a) how is sarcasm annotation impacted when done by non-native annotators? (b) How is sarcasm annotation impacted when the task is to distinguish between sarcasm and irony? And (c) can targets of sarcasm be identified by humans and computers. Following these studies, the book proposes approaches for two research problems: sarcasm detection and sarcasm generation. To detect sarcasm, incongruity is captured in two ways: żintra-textual incongruityż where the authors look at incongruity within the text to be classified (i.e., target text) and żcontext incongruityż where the authors incorporate information outside the target text. These approaches use machine-learning techniques such as classifiers, topic models, sequence labelling, and word embeddings. These approaches operate at multiple levels: (a) sentiment incongruity (based on sentiment mixtures), (b) semantic incongruity (based on word embedding distance), (c) language model incongruity (based on unexpected language model), (d) authorżs historical context (based on past text by the author), and (e) conversational context (based on cues from the conversation). In the second part of the book, the authors present the first known technique for sarcasm generation, which uses a template-based approach to generate a sarcastic response to user input. This book will prove to be a valuable resource for researchers working on sentiment analysis, especially as applied to automation in social media.
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Condition: New. pp. 156.
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Condition: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
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Taschenbuch. Condition: Neu. Investigations in Computational Sarcasm | Aditya Joshi (u. a.) | Taschenbuch | Cognitive Systems Monographs | xii | Englisch | 2019 | Springer | EAN 9789811341397 | 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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Investigations in Computational Sarcasm
Book 23 of 31: Cognitive Systems MonographsLanguage: English
Published by Springer Nature Singapore, Springer Nature Singapore, 2019
ISBN 10: 9811341397 ISBN 13: 9789811341397
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes the authors' investigations of computational sarcasm based on the notion of incongruity. In addition, it provides a holistic view of past work in computational sarcasm and the challenges and opportunities that lie ahead. Sarcastic text is a peculiar form of sentiment expression and computational sarcasm refers to computational techniques that process sarcastic text. To first understand the phenomenon of sarcasm, three studies are conducted: (a) how is sarcasm annotation impacted when done by non-native annotators (b) How is sarcasm annotation impacted when the task is to distinguish between sarcasm and irony And (c) can targets of sarcasm be identified by humans and computers. Following these studies, the book proposes approaches for two research problems: sarcasm detection and sarcasm generation. To detect sarcasm, incongruity is captured in two ways: 'intra-textual incongruity' where the authors look at incongruity within the text to be classified (i.e., target text) and 'context incongruity' where the authors incorporate information outside the target text. These approaches use machine-learning techniques such as classifiers, topic models, sequence labelling, and word embeddings. These approaches operate at multiple levels: (a) sentiment incongruity (based on sentiment mixtures), (b) semantic incongruity (based on word embedding distance), (c) language model incongruity (based on unexpected language model), (d) author's historical context (based on past text by the author), and (e) conversational context (based on cues from the conversation). In the second part of the book, the authors present the first known technique for sarcasm generation, which uses a template-based approach to generate a sarcastic response to user input. This book will prove to be a valuable resource for researchers working on sentiment analysis, especially as applied to automation in social media.
