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Text analytics is the process of uncovering hidden patterns from raw human language to enable better decision-making and predictions. With the explosion of text data generated by news, social media, as well as research papers, technical documents, internal reports, and maintenance logs, there is a significant amount of textual information available to us. Uncovering the relevant information manually from the large volume of text is challenging and often impossible by manual processing.

 

This webinar is in partnership with MATLAB and the University of Florida. 

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  • Mingming Chen

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