| 书目名称 | Sentic Computing |
| 副标题 | Techniques, Tools, a |
| 编辑 | Erik Cambria,Amir Hussain |
| 视频video | http://file.papertrans.cn/866/865292/865292.mp4 |
| 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 |
|Archiver|手机版|小黑屋|
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