Erik Cambria & Amir Hussain 
Sentic Computing 
Techniques, Tools, and Applications

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.

Содержание

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