Cambria / Hussain Sentic Computing

Techniques, Tools, and Applications
2012
ISBN: 978-94-007-5070-8
Verlag: Springer Netherland
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 2, 153 Seiten, eBook

Reihe: SpringerBriefs in Cognitive Computation

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.

Zielgruppe

Research

Autoren/Hrsg.

Cambria, Erik

Hussain, Amir

Inhaltsverzeichnis

1. Introduction. - 2. Background. - 3. Techniques. - 4. Tools. - 5. Applications. - 6. Concluding Remarks.