In this thought piece we explore some of the key questions to ask before beginning a text analytics programme.
As the number of text analytics tools have proliferated, the market has moved past early concerns about accuracy and now sits in a place where picking the right tool is more about ensuring the outputs will fit your needs.
This is no small challenge, not least because jargon and terminology abound in this market. From semantic engines that identify word patterns then use rules-based approaches to build categories, to probabilistic/statistics-based approaches that use frequencies and co-occurrence of words to derive results, it can be difficult to know exactly what you are getting.
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