Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
TerMinenactem.ac.uk · Low evidenceTerMine is a NaCTeM (University of Manchester) text mining tool that automatically recognizes multi-word terms and acronyms in text, combining C-Value term extraction with AcroMine acronym recognition. It relies on linguistic analysis (POS tagging and extraction of adjective/noun sequences) and statistical termhood scoring for scalable, high-throughput processing, and supports biomedical text processing via GENIA Tagger and general text via TreeTagger; input can be plain text, uploaded files, or URLs. It is available as a TerMine Processing Service for larger jobs, with ASCII encoding requirements and 2 MB document size limits to protect the server.
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