SAS® Text Analytics
Maximize the value buried in unstructured data assets
SAS Text Analytics provides a framework that enables organizations to maximize the value of information within large quantities of text that is generated, acquired or exists in repositories by extracting relevant information, and interpreting, mining and structuring information to reveal patterns, sentiments and relationships among documents.
SAS can help you discover insights from electronic text materials, associate them so they go to the right person or place, and provide intelligence to know what you need to do next – whether it’s answering complex search-and-retrieval questions, ensuring appropriate content is presented to internal or external Web users, or what phrase is predicted to produce the best effect on existing sentiments.
“SAS has been an invaluable partner for us because, with their ability to adapt themselves to the context, they helped us both to improve our ideas and models through discussion and comparison and to transform the marketplace into a concrete solution, with its own restrictions and objectives.”
—Paolo Galvani
Chairman, Agata
Agata
Components of SAS® Text Analytics
- Enterprise Content Categorization – Drive faster, more efficient information organization, access and findability with automated content categorization. Add-on modules offer features such as Web crawling, search and indexing, duplication document identification, text summarization and more.
- Ontology Management – Maximize the value of your text repositories by linking them together with consistently and systematically defined relationships.
- Sentiment Analysis – Automatically locate and extract sentiment from the Internet, social networking sites and internal electronic documents to identify more effective strategies.
- Text Mining – Capitalize on the value hidden in textual information by mining unstructured data sources.
How SAS® Is Different
- SAS provides a rich suite of tools for discovering and extracting knowledge from text documents, including a comprehensive text mining solution that integrates text-based information with structured data and predictive analytics for better answers to complex questions.
- SAS uses a combination of advanced statistical modeling, natural language processing and advanced linguistic technologies to quickly and automatically categorize large volumes of multilingual content to discover trends, patterns and sentiments locked away in textual content.
- SAS enables you to fully leverage content assets and ensure reuse, spanning disparate departmental repositories regardless of who owns the content or where it was generated.
