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Sentic Computing

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eBook details

  • Title: Sentic Computing
  • Author : Erik Cambria & Amir Hussain
  • Release Date : January 28, 2012
  • Genre: Medical,Books,Professional & Technical,Computers & Internet,Databases,Health, Mind & Body,Psychology,Education,Language Arts & Disciplines,Science & Nature,Mathematics,
  • Pages : * pages
  • Size : 2538 KB

Description

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.


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