mcs07/ChemDataExtractor
Automatically extract chemical information from scientific documents
Combines multi-format document parsing (HTML, XML, PDF) with chemistry-aware NLP and rule-based grammars to extract chemical entities, properties, and spectroscopic data from unstructured text and tables. Features a document processing layer that resolves data interdependencies across extracted information, enabling structured knowledge assembly from scattered references within scientific papers.
349 stars and 518 monthly downloads. No commits in the last 6 months. Available on PyPI.
Stars
349
Forks
122
Language
Python
License
MIT
Category
Last pushed
Jul 27, 2023
Monthly downloads
518
Commits (30d)
0
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