NEJI 2.0.2 – Framework for Faster Biomedical Concept Recognition

NEJI 2.0.2

:: DESCRIPTION

Neji is a innovative and powerfull framework for faster biomedical concept recognition. It is open source and built around four key characteristics: modularity, scalability, speed, and usability. Neji integrates modules of various state-of-the-art methods for biomedical natural language processing (e.g., sentence splitting, tokenization, lemmatization, part-of-speech tagging, chunking and dependency parsing) and concept recognition (e.g., dictionaries and machine learning). The most popular input and output formats, such as Pubmed XML, IeXML, CoNLL and A1, are also supported.

::DEVELOPER

UA.PT Bioinformatics

:: SCREENSHOTS

N/A

::REQUIREMENTS

  • Linux/ Windows/MacOsX
  • Java

:: DOWNLOAD

 NEJI

:: MORE INFORMATION

Citation

BMC Bioinformatics. 2013 Sep 24;14:281. doi: 10.1186/1471-2105-14-281.
A modular framework for biomedical concept recognition.
Campos D1, Matos S, Oliveira JL.

BECAS – Biomedical Concept Annotation Tool, API and Widget

BECAS

:: DESCRIPTION

becas is a web application, API and widget for biomedical concept identification. It helps researchers, healthcare professionals and developers in the identification of over 1,200,000 biomedical concepts in text and PubMed abstracts.

::DEVELOPER

UA.PT Bioinformatics

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux/ MacOsX
  • Python

:: DOWNLOAD

 BECAS API

 :: MORE INFORMATION

Citation

BeCAS: biomedical concept recognition services and visualization.
Nunes T, Campos D, Matos S, Oliveira JL.
Bioinformatics. 2013 Aug 1;29(15):1915-6. doi: 10.1093/bioinformatics/btt317