Sentic Computing: Techniques, Tools, and Applications (SpringerBriefs in Cognitive Computation, 2)

Sentic Computing: Techniques, Tools, and Applications (SpringerBriefs in Cognitive Comp...

Erik Cambria

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Sentic Computing: Techniques, Tools, and Applications (Sp...
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    Sentic Computing: Techniques, Tools, and Applications (SpringerBriefs in Cognitive Computation, 2)

    $59.00 CAD
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    Book Details

    Author
    Erik Cambria
    Publisher
    Springer
    Format
    Paperback
    Language
    English
    Category
    AI & Machine Learning
    Condition
    New
    ISBN-13
    9799400750691
    ISBN-10
    9400750692

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    Product description

    ISBN: 9400750692

    Author: Cambria, Erik

    Condition: New

    Product DescriptionIn this book common sense computing techniques are further developed and applied to bridge the semantic gap between word-level natural language data and the concept-level opinions conveyed by these. In particular, the ensemble application of graph mining and multi-dimensionality reduction techniques is exploited on two common sense knowledge bases to develop a novel intelligent engine for open-domain opinion mining and sentiment analysis. The proposed approach, termed sentic computing, performs a clause-level semantic analysis of text, which allows the inference of both the conceptual and emotional information associated with natural language opinions and, hence, a more efficient passage from (unstructured) textual information to (structured) machine-processable data.From the Back CoverIn this book common sense computing techniques are further developed and applied to bridge the semantic gap between word-level natural language data and the concept-level opinions conveyed by these. In particular, the ensemble application of graph mining and multi-dimensionality reduction techniques is exploited on two common sense knowledge bases to develop a novel intelligent engine for open-domain opinion mining and sentiment analysis. The proposed approach, termed sentic computing, performs a clause-level semantic analysis of text, which allows the inference of both the conceptual and emotional information associated with natural language opinions and, hence, a more efficient passage from (unstructured) textual information to (structured) machine-processable data.

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    Sentic Computing: Techniques, Tools, and Applications (SpringerBriefs in Cognitive Computation, 2)

    $59.00 CAD
     per 

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