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Sentic Computing
Erik Cambria
Amir Hussain
其他書名
Techniques, Tools, and Applications
出版
Springer Science & Business Media
, 2012-07-28
主題
Medical / General
Computers / Data Science / Data Analytics
Mathematics / General
Language Arts & Disciplines / Linguistics / General
Psychology / Cognitive Psychology & Cognition
Medical / Research
Language Arts & Disciplines / General
ISBN
9400750706
9789400750708
URL
http://books.google.com.hk/books?id=8DPLZ8klJrkC&hl=&source=gbs_api
EBook
SAMPLE
註釋
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.