Using Text Mining in Business Analytics to extract Meaningful Information from Text Data

Normand Peladeau, Founder & CEO, Provalis Research

Business Analytics involves researching incident reports, corporate reports, social media, customer reviews and much more. The volume of available text has exploded in the digital age. It is extremely time consuming, expensive and in many cases impossible to read each and every document related to one’s research. Text Analytics makes it possible to quickly import and analyze very large volumes of text documents. It can provide you with real value, but only if you use it correctly. This presentation will showcase the different text analytics approaches used for Business Analytics such as computer assisted qualitative coding; exploratory text mining; content analysis dictionaries or taxonomies, supervised and unsupervised machine learning. We will discuss when one technique may be more appropriate than another and how they can work together to analyze text data.

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