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Automatically extract chemical information from scientific documents

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ChemDataExtractor

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ChemDataExtractor is a toolkit for extracting chemical information from the scientific literature.

Features

  • HTML, XML and PDF document readers
  • Chemistry-aware natural language processing pipeline
  • Chemical named entity recognition
  • Rule-based parsing grammars for property and spectra extraction
  • Table parser for extracting tabulated data
  • Document processing to resolve data interdependencies

Installation

To install ChemDataExtractor, simply run:

pip install chemdataextractor

Or if you are an Anaconda user, run:

conda install -c chemdataextractor chemdataextractor

Alternatively, try one of the other installation options.

Documentation

Full documentation is available at http://chemdataextractor.org/docs

License

ChemDataExtractor is licensed under the MIT license, a permissive, business-friendly license for open source software.

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Automatically extract chemical information from scientific documents

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  • Python 60.5%
  • HTML 39.1%
  • Shell 0.4%