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Concluding Remarks

  • Erik Cambria
  • Amir Hussain
Chapter
Part of the SpringerBriefs in Cognitive Computation book series (BRIEFSCC, volume 2)

Abstract

This book was the result of a doctoral work developed within an industrial research project born from the collaboration between the University of Stirling, the MIT Media Laboratory, and Sitekit Labs. The main aim of this book was to go beyond keyword-based approaches by further developing and applying common sense computing techniques to bridge the cognitive and affective gap between word-level natural language data and the concept-level opinions conveyed by these. This has been pursued through a variety of novel tools and techniques that have been tied together to develop an opinion mining engine for the semantic analysis of natural language opinions and sentiments. Such engine has then been used for the development of intelligent web applications in fields such as Social Web, HCI, and e-health.

Keywords

Extreme Learning Machine Opinion Mining Independent Component Analysis Sentiment Analysis Relevance Vector Machine 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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Copyright information

© The Author(s) 2012

Authors and Affiliations

  1. 1.Media LaboratoryMassachusetts Institute of TechnologyCambridgeUSA
  2. 2.Department of Computing ScienceUniversity of StirlingStirlingUK

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