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NaCTeM Software Tools

The National Centre for Text Mining bases its service systems on a number of text mining software tools.

• Part-of-speech (POS) taggers
• A part-of-speech tagger for English
• GENIA Tagger — Part-of-speech tagging for biomedical text (Web Service )
• Parsers
• Enju — A deep syntactic parser for English
• CFG Parser — A fast CFG parser for English
• GENIA Tagger — Shallow parsing for biomedical text. (Web Service )
• Named entitities/terms
• Named-entity Recognizer — Part of the GENIA Tagger
• NEMine — Recognizes gene/protein names in text.
• Yeast MetaboliNER — Recognizes yeast metabolite names in text.
• ACELA — Tool for efficient annotation of named entitites
• Smart dictionary lookup — machine learning-based gene/protein name lookup
• Smart Dictionary Lookup Tool Web Service — Looks up term variations of a given gene/protein name based on an automatically trained similarity measure
• Term Normalization Tool — Normalizes terms with string rewriting rules automatically generated based on a dictionary.
• Other tools
• ASCOT — An an efficient search application customised for clinical trials
• Cafetiere — An easy-to-use text mining system for carrying text mining on your own document collection
• Sentence and paragraph breaker — An accurate sentence and paragraph detector based on heuristic rules
• Clinical Document Classification — automatic document classification demo
• Sentiment Analysis Tool — Analyses sentiment of input text.
• Cheshire 3 — fast XML search engine, which is the latest incarnation of the Cheshire system developed at UC Berkeley.