The capacity of computers to recognize meaning in text, sound or images has progressed slowly and steadily over many years, but with the arrival of multi-processor cores, and the continual refinement of software algorithms, we are in a position where both the speed and the accuracy of recognition can support a wide range of applications. In particular, when we add analysis to recognition, we can match
up content with rules and policies, detect unusual behavior, spot patterns and trends, and infer emotions and sentiments. Content analytics is a key part of “big data” business intelligence, but it is also driving auto-classification, content remediation, security correction, adaptive case management, and operations monitoring.
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Aiim Industry Watch: Content Analytics: automating processes and extracting knowledge
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Content Analytics:
automating processes and extracting
knowledge
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