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bioRxiv · 10.1101/459172

pyMeSHSim: an integrative python package to realize biomedical named entity recognition, normalization and comparison

Luo, Z.-H.·Shi, M.-W.·Yang, Z.·Zhang, H.-Y.·Chen, Z.-X.
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Abstract

SummaryComputing semantic similarity between two texts, like disease descriptions, has become important for many biomedical text mining applications. Here, we present PyMeSHSim, which is an integrative, lightweight and data-rich MeSH toolkit that recognizes biomedical named entities (bio-NEs) from texts, maps the bio-NEs to the controlled vocabulary MeSH and measures the semantic similarity between the MeSH terms.\n\nAvailabilityPackages source code and test datasets are available under the GPLv3 license at https://github.com/luozhhub/pyMeSHSim\n\nContactzhen-xia.chen@mail.hzau.edu.cn or zhy630@mail.hzau.edu.cn

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Luo, Z.-H., Shi, M.-W., Yang, Z., Zhang, H.-Y., Chen, Z.-X.. 2018-11-04. pyMeSHSim: an integrative python package to realize biomedical named entity recognition, normalization and comparison. https://doi.org/10.1101/459172

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