BioWordVec | demo implementation described in the paper `` BioWordVec

 by   ncbi-nlp Python Version: Current License: Non-SPDX

kandi X-RAY | BioWordVec Summary

kandi X-RAY | BioWordVec Summary

BioWordVec is a Python library. BioWordVec has no bugs, it has no vulnerabilities and it has low support. However BioWordVec build file is not available and it has a Non-SPDX License. You can download it from GitHub.

This sourcecode is a demo implementation described in the paper "BioWordVec:Improving Biomedical Word Embeddings with Subowrd Information and MeSH." This is research software, provided as is without express or implied warranties etc. see licence.txt for more details. We have tried to make it reasonably usable and provided help options, but adapting the system to new environments or transforming a corpus to the format used by the system may require significant effort.
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            kandi-support Support

              BioWordVec has a low active ecosystem.
              It has 115 star(s) with 27 fork(s). There are 11 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 1 have been closed. On average issues are closed in 472 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of BioWordVec is current.

            kandi-Quality Quality

              BioWordVec has 0 bugs and 6 code smells.

            kandi-Security Security

              BioWordVec has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              BioWordVec code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              BioWordVec has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              BioWordVec releases are not available. You will need to build from source code and install.
              BioWordVec has no build file. You will be need to create the build yourself to build the component from source.
              BioWordVec saves you 72 person hours of effort in developing the same functionality from scratch.
              It has 186 lines of code, 11 functions and 2 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed BioWordVec and discovered the below as its top functions. This is intended to give you an instant insight into BioWordVec implemented functionality, and help decide if they suit your requirements.
            • Preprocesses transition probabilities
            • Computes the alias for the given probabilities
            • Return the alias of the given edge
            • Simulate the network
            • Return a list of nodes in the graph
            • Draw an alias for an alias
            • Parse command line arguments
            Get all kandi verified functions for this library.

            BioWordVec Key Features

            No Key Features are available at this moment for BioWordVec.

            BioWordVec Examples and Code Snippets

            No Code Snippets are available at this moment for BioWordVec.

            Community Discussions

            No Community Discussions are available at this moment for BioWordVec.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install BioWordVec

            You can download it from GitHub.
            You can use BioWordVec like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/ncbi-nlp/BioWordVec.git

          • CLI

            gh repo clone ncbi-nlp/BioWordVec

          • sshUrl

            git@github.com:ncbi-nlp/BioWordVec.git

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