| 书目名称 | Sentic Computing | | 副标题 | Techniques, Tools, a | | 编辑 | Erik Cambria,Amir Hussain | | 视频video | | | 概述 | Represents the first comprehensive review of Sentic Computing, state-of-the-art approach to opinion mining and sentiment analysis (see http://en.wikipedia.org/wiki/Sentiment_analysis).A special chapte | | 丛书名称 | SpringerBriefs in Cognitive Computation | | 图书封面 |  | | 描述 | In 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. | | 出版日期 | Book 2012 | | 关键词 | Artificial Intelligence; Cognitive and Affective Modeling; Natural Language Processing; Opinion Mining | | 版次 | 1 | | doi | https://doi.org/10.1007/978-94-007-5070-8 | | isbn_softcover | 978-94-007-5069-2 | | isbn_ebook | 978-94-007-5070-8Series ISSN 2212-6023 Series E-ISSN 2212-6031 | | issn_series | 2212-6023 | | copyright | The Author(s) 2012 |
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发表于 2025-3-21 17:19:20
