Sentic Computing

Sentic Computing

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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.Such hashtags pertain to electronics (e.g., IPhone, XBox, Android, and Wii), companies (e.g., Apple, Microsoft, and Google), ... The mood tags, however, showed a good enough reliability (89% accuracy) so they were used to test the enginea#39;s affect ... The PatientOpinion dataset, finally, is a manually tagged evaluation resource kindly provided by James Munro, CEO of PatientOpinion, a social enterpriseanbsp;...

Title:Sentic Computing
Author: Erik Cambria, Amir Hussain
Publisher:Springer Science & Business Media - 2012-07-28

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