SpringerBriefs in Cognitive Computation
Amir Hussain · Andrew Abel · Anna Esposito · Azlan Iqbal · Boshra Haghighi · Erik Cambria · Jana Krivec · Maria Teresa Riviello · Matej Guid · Raoul Biagioni · Shazril Azman · Simon Colton
Latest release: July 5, 2016
Software Development & Engineering · Semantics · Linguistics
Series
5
Books
About this ebook series
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.