SAS is shipping its Text Analytics suite that automates the process of reading individual documents and manually extracting relevant information, allowing organisations to manage proliferating data from social networks, call centers, customer surveys, claims forms and sales returns.
According to SAS, the new Enterprise Content Categorisation applies natural language processing and linguistic techniques to categorise multilingual content. It parses and analyses content for entities, facts and events to create metadata, develop taxonomies, and generate category rules and concept definitions to apply to documents to trigger business processes.
The company said that the new Sentiment Analysis derives positive and negative opinions, evaluations and emotions of customers and prospects from digital content sources, including blogs, tweets and internet sites, as well as internal e-mails, call centre notes and inquiries.
In addition, the new Text Miner incorporates linguistics into its Enterprise Miner, a data mining tool; and its new Ontology Management creates and maintains centralised metadata across document collections and textual repositories, enabling information search-and-retrieval engines to identify common concepts.
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Fiona McNeill, global analytics product marketing manager at SAS, said: “Our customers use text analytics for customer intelligence, risk management and fraud management. Those involved in enterprise content, web content, document, records and knowledge management, enterprise search, article research and online marketing measurement can easily access and reuse information with SAS Text Analytics.
