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