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.

This book addresses the processes related to mine abandonment from a hydrogeological perspective and provides a comprehensive presentation of water management and innovative tracer techniques for flooded mines. After an introduction to the relevant hydrogeochemical processes the book gives detailed information about mine closure procedures. The book also includes case studies and hints, and some new methodologies for conducting tracer tests in flooded mines.