SAS Text Analytics reveals new insights in stored documents

MANILA, Philippines - SAS Text Analytics, now shipping from the leader in business analytics, automates the time-consuming process of reading individual documents and manually extracting relevant information.

Organizations are in constant need of powerful tools to manage proliferating data from social networks, call centers, customer surveys, claims forms and sales returns.

SAS’ award-winning analytics mine, interpret and structure information to reveal patterns, sentiment and relationships to improve decision-making.

“Our customers use text analytics for customer intelligence, risk management and fraud management,” said Fiona McNeill, global analytics product marketing manager at SAS.

“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,” said McNeill.

SAS’ suite harnesses the power and expertise of the Teragram technologies acquired in 2008.

SAS Enterprise Content Categorization applies natural language processing and advanced linguistic techniques to automatically categorize multi-lingual content.

It parses and analyzes content for entities, facts and events to create metadata, develop taxonomies, and generate category rules and concept definitions to apply to large volumes of documents to trigger business processes.

SAS 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 center notes and inquiries.

SAS Text Miner incorporates advanced linguistics into SAS’ core data mining solution, SAS Enterprise Miner. Consolidating structured data analysis with unstructured text provides more meaningful insights from predictive modeling.

Automating manual exploration of text, incorporating interactive, drill-down reporting and delivering algorithms for rigorous advanced analyses help organizations grasp future trends and act on new opportunities more efficiently and with less risk.

SAS Ontology Management creates and maintains consistent and centralized metadata across document collections and textual repositories, so information search-and-retrieval engines can systematically identify common concepts. This provides meaningful responses to complex questions, even when answers are not explicitly stated in the text.

The Associated Press, eBay, Factiva, Forbes.com, HP, NY Times Co., Reed Business Information, Sony, Tribune Interactive, washingtonpost.com, Wolters Kluwer, Yahoo! and the World Bank use SAS to analyze unstructured data and understand customers, market opportunities, internal operations and supply chains.

SAS Text Analytics solutions are part of the SAS Business Analytics Framework, backed by the industry’s most comprehensive range of consulting, training and support services, ensuring customers maximum return from their IT investments.