Neji is a flexible and powerful platform for biomedical information extraction from scientific texts, such as patents, publications and electronic health records.
- What is new in Neji 2?
- What you can do with Neji?
- Quick start
- Documentation
- Usage notification
- Support and consulting
- Bugs and features requests
- Creators and contributors
- Copyright and license
- Neji Web Server
- Management of annotation services and respective dictionaries and machine-learning models
- Web page with interactive annotation for each service
- REST API for each service
- Gimli for machine learning NER training
- Gimli is now easier to use with faster training and processing times. Its functionalities are now integrated into Neji, providing the same high accuracy previously achieved
- Multiple linguistic parsers support, for general text and multi-language
- Support to additional input and output formats, including BioC
- SDK usability improvements
- Performance improvements
- Stability improvements
With Neji you can build text mining processing pipelines for:
- Rapidly create REST services and interactive web pages for text mining tasks
- Concept recognition:
- Dictionary-based, Machine learning-based and Rule-based
- Train machine learning models for NER (Named Entity Recognition):
- Normalization with dictionary matching and Stopword filtering
- Linguistic parsing:
- Sentence splitting, Tokenisation, Lemmatisation, Chunking and Dependency parsing
- Convert between corpora formats:
- Input formats: BioC, XML, HTML and Text
- Output formats: JSON, A1, BC2, Base64, BioC, CoNLL, IeXML, Pipe and PipeExtended
- Download and extract the latest version of Neji
- Use
neji.sh
to annotate - Use
nejiTrain.sh
to train new NER models
Neji's documentation is available at https://github.com/BMDSoftware/neji/wiki.
If you are using Neji in your projects, please let us know by sending an e-mail to [email protected] or [email protected].
Have a bug or a feature request?
If your problem or idea is not addressed yet, please open a new issue.
Please contact BMD Software for professional support and consulting services.
Copyright (C) 2016 BMD Software and University of Aveiro
Neji is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/.