SAS Contextual Analysis

The solution SAS Contextual Analysis allows to automate some of the most labor-intensive manual processes aimed at identification of the arising problems, patterns and trends in unstructured data. The combination of machine learning to subject-oriented rules promotes bigger relevance of the received content. The need to create manually taxonomy and to write rules of a categorization that it considerably accelerates process of the analysis for clients vanishes.

"By means of tools of text analytics it is possible to collect, to systematize and analyze text data in the automatic mode thanks to application of linguistic rules, statistical techniques and methods of machine learning. For the last few years interest in tools of the analysis of the text increases - we see it on the growing interest of our clients. Today text analytics of SAS are widely used by banks in Russia and Kazakhstan – for increase in accuracy of scoring and for fight against fraud, in marketing and researches of the market – for quality improvement of service of buyers, in a public sector – during the monitoring of information, the analysis of tonality of messages and work with responses and complaints", - the Hare Anton, the director of business development of SAS Russia/CIS comments.