Providing valuable vertical expertise to tagging and analytics capabilities allowing clients to meet their specialized needs

Effective text analytics requires that a solution "understand" the industry application or domain in which it functions. Examples include vagaries of language and/or customer-specific jargon. This is why statistical tagging and lexicon approaches commonly used in search applications come up short when addressing advanced text analytics. They are unable to accurately recognize concepts and maintain precision in the face of changing content or differing lines-of-business inquiries. Yet more importantly, these approaches lack the depth of domain-specific tagging that is required to turn text into effective business intelligence.

ClearForest solves these challenges with its flexible tagging platform and rich set of extensible Extraction Modules. ClearForest Extraction Modules builds upon the platform-level functionality established by ClearForest Tags through deep tagging and domain-specific information extraction.

In addition to the basic concepts identified by ClearForest Tags such as "person" "company" or "location," ClearForest's extraction modules are capable of identifying entities unique to a particular industry--and their relationships to one another. In fact, most customers find that our out-of-the-box Extraction Modules address up to 70% of their entire tagging requirements.

For customers who need greater depth, we also offer ClearForest Developer which can be used to extend built-in linguistic capabilities, or to extract custom entities and relationships from within Extraction Modules. ClearForest Developer can also be used to customize existing modules or to create new ones.