| Title | : | Sentic Computing |
|---|---|---|
| Author | : | Erik Cambria & Amir Hussain |
| Release | : | 2012-07-28 |
| Kind | : | ebook |
| Genre | : | Medical, Books, Professional & Technical, Computers & Internet, Databases, Health, Mind & Body, Psychology, Education, Language Arts & Disciplines, Science & Nature, Mathematics |
| Size | : | 2538091 |
| 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. |
