SciBite's semantic entity recognition and extraction engine. Ultra-fast and designed to understand the complexity of scientific text, TERMite identifies key terms in any document in seconds, transforming raw text into machine-readable data.
TERMite, our high-performance text recognition engine is designed to identify key concepts in biomedical text. However, a drawback of this approach is that generally terms must be spelt correctly to be recognised. In the latest release of TERMite, we now include a fuzzy matching feature to help identify incorrectly spelt concepts in text.
SciBite partners with Copyright Clearance Center17th October 2016
Combining high-quality scientific content with the ability to interrogate, analyze and interact with it in exciting new ways will deliver awesome results for customers involved in any science-based business
London Info International 6th-7th December 20166th - 7th December 2016
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To achieve the best results in exploring target-disease biology, researchers regularly apply multiple approaches. Reviewing direct protein-disease relationships is a simple but powerful technique for gaining an initial view but will only get you so far. Read on to find out how SciBite can help you to identify and explore phenotypic associations within a disease.