PRODUCTS
NetOwl
Text and Entity Analytics for Big Data
The explosion of unstructured data has created an information challenge for many organizations. Until now, organizations have not been able to effectively "mine" unstructured data found in email, news, web, social media, or other sources. In addition, fusing unstructured text data with entity data — structured data about people, organizations, places, and things — poses unique challenges for analysis. These massive volumes of text and entity data represent critical information that should be analyzed and exploited for organizations to be competitive in this fast-changing world.
SRA has developed NetOwl®, a suite of rich text and entity analytics products, to analyze Big Data in the forms of text and entity data and turn it into actionable knowledge. NetOwl has been refined over more than a decade of research and development. Our team of researchers and engineers continue to expand NetOwl's capabilities to keep pace with evolving information needs.
Text Analytics Products
NetOwl Extractor
Accurately performs entity extraction from unstructured texts using advanced computational linguistics and natural language processing.
NetOwl DocMatcher
Intelligently compares and categorizes documents according to user-defined concepts using advanced machine learning and computational linguistics approaches.
NetOwl TextMiner
Empowers users to find, organize, analyze and mine a large volume of unstructured information using the most advanced text analysis technology available.
Entity Analytics Products
NetOwl NameMatcher
Accurately and efficiently identifies name variants from large multicultural and multilingual name databases using advanced machine learning and computational linguistic approaches.
NetOwl EntityMatcher
Accurately and efficiently performs identity resolution for large multicultural and multilingual entity databases using advanced machine learning and computational linguistic approaches.