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TERMite Datasheet

Text analytics + semantic enrichment

The majority of scientific knowledge is documented in unstructured text-based sources which lack searchable metadata, limiting its discoverability.

TERMite (TERM Identification Tagging and Extraction) is a named entity recognition (NER) tool that unlocks the value of biomedical text by rapidly scanning and semantically enriching it with biomedical terms.

Providing the flexibility to integrate with your existing ecosystem, TERMite has built in relevance detection, enabling you to focus on things that really matter.

Related articles

  1. Talking to TERMite – introducing the SciBite scripting suite

    We’re pleased to announce that we’ve given our TERMite Toolkit an update, including updating our Python Toolkit. We’re also excited to introduce our new R module. Read more in this blog post.

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  2. SciBite releases new version of ultra-fast term identification, tagging & extraction engine – TERMite 6.3

    Cambridge, UK - SciBite, the award-winning semantic software company, today announced the release of a new version of their industry leading, ultra-fast named entity recognition (NER) and extraction engine, TERMite 6.3, which delivers a range of new enhancements, including simplified connectivity to third party systems.

    Read

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