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.
- ISBN: 978-94-007-5069-2
- Editorial: Springer
- Encuadernacion: Rústica
- Fecha Publicación: 31/08/2012
- Nº Volúmenes: 1
- Idioma: Inglés