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" Sentiment analysis in social networks / "
edited by Federico Alberto Pozzi, Elisabetta Fersini, Enza Messina, Bing Liu.
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BL
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| Record Number
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622988
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| Doc. No
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dltt
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| Title & Author
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Sentiment analysis in social networks /\ edited by Federico Alberto Pozzi, Elisabetta Fersini, Enza Messina, Bing Liu.
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| Page. NO
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xix, 263 pages :: illustrations ;; 24 cm
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| ISBN
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9780128044124
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: 0128044128
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| Bibliographies/Indexes
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Includes bibliographical references and indexes.
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| Contents
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Challenges of sentiment analysis in social networks: an overview -- Beyond sentiment: how social network analytics can enhance opinion mining and sentiment analysis -- Semantic aspects in sentiment analysis -- Linked data models for sentiment and emotion analysis in social networks -- Sentic computing for social network analysis -- Sentiment analysis in social networks: a machine learning perspective -- Irony, sarcasm, and sentiment analysis -- Suggestion mining from opinionated text -- Opinion spam detection in social networks -- Opinion leader detection -- Opinion summarization and visualization -- Sentiment analysis with SpagoBl -- SOMA: the smart social customer relationship management tool: handling semantic variability of emotion analysis with hybrid technologies -- The human advantage: leveraging the power of predictive analytics to strategically optimize social campaigns -- Price-sensitive ripples and chain reactions: tracking the impact of corporate announcements with real-time multidimensional opinion streaming.
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| Abstract
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This book explores both semantic and machine learning models and methods that address context-dependent and dynamic text in online social networks, showing how social network streams pose numerous challenges due to their large-scale, short, noisy, context- dependent and dynamic nature.
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| Subject
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Natural language processing (Computer science)
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Computational linguistics.
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| Subject
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Social networks.
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| Dewey Classification
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006.3/5
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| LC Classification
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QA76.9.N38S46 2017
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| Added Entry
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Pozzi, Federico Alberto
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Fersini, Elisabetta
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Messina, Enza
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Liu, Bing
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