SAS Text Analytics

The SAS Text Analytics tool kit helps the organizations to solve a set of the problems arising during the work with unstructured information. Now to collect, it is possible to systematize and analyze text data in the automatic mode, thanks to application of linguistic rules, statistical techniques and methods of machine learning.

Among sources of unstructured data different web resources (social networks, blogs, forums, the news websites), records and comments of operators of call centers, survey results, letters in e-mail, written customer appeals, warranty addresses and addresses concerning insurance payments, articles, etc. SAS helps to integrate this knowledge and to create new metadata for increase in accuracy of analytical models. SAS Text Analytics automatically determines a key word and subject of messages, makes semantic analysis of the text and analyzes a context. Thanks to it, you can understand moods and opinions of clients, to optimize service and business processes, to make reasoned decisions.

Components of a line of SAS Text Analytics

• SAS Enterprise Content Categorization. The automatic categorization and extraction of the facts allows to prepare quickly relevant information for increase in accuracy of search results in the text. Add-on modules give an opportunity of use of ready taksonomiya for different data domains, include instruments of downloading of the websites, forums, blogs and so forth, determinations of duplicates among a flow of documents, automatic summarization of big documents, etc.
• SAS Ontology Management. Ordering and consolidation of a set of separate storages and bases of text information on the basis of semantic rules.
• SAS Sentiment Analysis. Automatic recognition and the analysis of the opinions expressed in text documents and reports in the organization on the websites, in different questionnaires and at forums and by e-mail allows to reveal trends in preferences of clients and staff of your organization.
• SAS Text Miner. Determination of the hidden patterns in the whole sets of documents using technologies of text data mining.

In what differences of SAS?

• SAS offers rich tool kit for detection and extraction of knowledge from text documents. Here the comprehensive solution on text data mining which allows to integrate text information with usual data sources and solutions of predictive analytics for obtaining answers to difficult questions enters.
• SAS uses a combination of advanced methods of modeling, methods of recognition of texts in a natural language and the advanced linguistic technologies for fast hands-off processing of large volumes of text data in different languages - for determination of the trends, patterns and opinions hidden in text information.
• SAS allows to take all advantages of the text resources which are available in the organization and to provide effective use of the text documents scattered on departments irrespectively of their owners and irrespective of where also by whom they were created.
• SAS helps to raise customer satisfaction, analyzing a set of data sources for detection of important patterns and also helps to build the systems of the early notification for monitoring of the key processes happening in the organization and by that to improve results of researches and product development and services.
• SAS Text Analytics is applicable for various aspects in a set of the industries, including the systems of the early notification and the analysis of opinions in the government organizations and also increases in return from digital content in the media industry.