Sentic Computing - Amir Hussain Erik Cambria Kartoniert (TB)

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 emot ional information associated with natural language opinions and hence a more efficient passage from (unstructured) textual information to (structured) machine-processable data.