I saw this comment in a recent article by Seth Grimes, where he discusses the terms Text Analysis and Text Analytics.
Within the article Mr. Grimes states that text mining and text analytics are largely interchangeable terms:
“The terms “text analytics” and “text mining” are largely interchangeable. They name the same set of methods, software tools, and applications. Their distinction stems primarily from the background of the person using each — “text mining” seems most used by data miners, and “text analytics” by individuals and organizations in domains where the road to insight was paved by business intelligence tools and methods — so that the difference is largely a matter of dialect.”
I asked Linguamatics CTO, David Milward, for his thoughts:
"There is certainly overlap, but I think there are cases of analytics that would not be classed as text mining and vice versa. Text analytics tends to be more about processing a document collection as a whole, text mining traditionally has more of the needle in a haystack connotation.
"For example, word clouds might be classified as text analytics, but not text mining. Use of natural language processing (NLP) for advanced searching is not so naturally classified under text analytics.