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MedCrawler | Analyzing user-generated online content for drug discovery

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Finds, extracts and displays medical terms from blog posts. MedCrawler is a data mining tool for analyzing user-generated blog posts aiming to find modern ‘traditional’ medicine or home remedies. It searches user-generated blog posts and analyzes them for correlations between medically relevant terms. It offers a method to include data from a wide variety of sources and authors, and includes automated information extraction and representation. MedCrawler can be used as a supplementary tool to support sample library design for screening campaigns or to provide a quick overview over modern folklore.

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MedCrawler forum

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MedCrawler classification

MedCrawler specifications

Unique identifier:
OMICS_14680
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU General Public License version 3.0
Stability:
Stable
Software type:
Package/Module
Restrictions to use:
None
Programming languages:
Python
Computer skills:
Advanced
Maintained:
Yes

MedCrawler distribution

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MedCrawler support

Documentation

Maintainer

  • Päivi Tammela <>

Credits

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Publications

Institution(s)

Centre for Drug Research, Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland

Funding source(s)

This work was supported by the Academy of Finland [grant numbers 284477, 277001].

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