Twenty Electric Text Analytics Platforms
March 11, 2014
Butler Analytics collected a list of “20+ Text Analytics Platforms” that delve through the variety of text analytics platforms available and what their capabilities are. According to the list, text analytics has not reached its full maturity yet. There are three main divisions in the area: natural language processing, text mining, and machine learning. Each is distinct and each company has their own approach to using these processes:
“Some suppliers have applied text analytics to very specific business problems, usually centering on customer data and sentiment analysis. This is an evolving field and the next few years should see significant progress. Other suppliers provide NLP based technologies so that documents can be categorized and meaning extracted from them. Text mining platforms are a more recent phenomenon and provide a mechanism to discover patterns that might be used in operational activities. Text is used to generate extra features which might be added to structured data for more accurate pattern discovery. There is of course overlap and most suppliers provide a mixture of capabilities. Finally we should not forget information retrieval, more often branded as enterprise search technology, where the aim is simply to provide a means of discovering and accessing data that are relevant to a particular query. This is a separate topic to a large extent, although again there is overlap.”
Reading through the list shows the variety of options users have when it comes to text analytics. There does not appear to be a right or wrong way, but will the diverse offerings eventually funnel
down to few fully capable platforms?
Whitney Grace, March 11, 2014
Sponsored by ArnoldIT.com, developer of Augmentext
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