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  • Affective Computing and Sentiment Analysis

    Affective Computing and Sentiment Analysis Cover

    Khurshid Ahmad

    This volume synthesises research and development in cognitive science and computing that deal with the automated assessment of human emotion. Affect computing systems are used in identifying terror threats, and are extensively used in marketing and finance. This volume comprises affect computing systems that learn to identify sentiment bearing sentences, and help in evaluating the polarity of opinion, positive/negative, in written text and speech.
  • Advances in K-means Clustering

    Advances in K-means Clustering Cover

    Junjie Wu

    The K-means algorithm is commonly used in data mining and business intelligence. This award-winning research pioneers its application to the intricacies of ‘big data’, detailing a theoretical framework for aggregating and validating clusters with K-means.

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