NegBio | performance tool for negation and uncertainty | Natural Language Processing library

 by   ncbi-nlp Python Version: v0.9.4 License: Non-SPDX

kandi X-RAY | NegBio Summary

kandi X-RAY | NegBio Summary

NegBio is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. NegBio has no bugs, it has no vulnerabilities, it has build file available and it has low support. However NegBio has a Non-SPDX License. You can download it from GitHub.

:newspaper: High-performance tool for negation and uncertainty detection in radiology reports
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              NegBio has a low active ecosystem.
              It has 121 star(s) with 32 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 4 open issues and 20 have been closed. On average issues are closed in 133 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of NegBio is v0.9.4

            kandi-Quality Quality

              NegBio has 0 bugs and 79 code smells.

            kandi-Security Security

              NegBio has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              NegBio code analysis shows 0 unresolved vulnerabilities.
              There are 4 security hotspots that need review.

            kandi-License License

              NegBio 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

              NegBio releases are available to install and integrate.
              Build file is available. You can build the component from source.
              NegBio saves you 938 person hours of effort in developing the same functionality from scratch.
              It has 2140 lines of code, 167 functions and 58 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed NegBio and discovered the below as its top functions. This is intended to give you an instant insight into NegBio implemented functionality, and help decide if they suit your requirements.
            • Extract mentions
            • Return the node with the given name
            • Check if a sentence overlaps with the given annotation
            • Add a Match annotation
            • Run a metamap
            • Adapts a concept index
            • Return the node with the given index
            • Aggregate mentions
            • Convert a dictionary into a vector
            • R Parse sub - node
            • Detect the dependency graph
            • Convert text files to Bioclections
            • Extend the annotation with the given type
            • Load observation phrase
            • Read requirements from requirements txt file
            • Reads the cuis file
            • Parse command line arguments
            • Runs extractor
            • Normalize passage text
            • Run a given detector
            • Run the metamap
            • Scans the given document using the given fn
            • Scans a collection of files
            • Create a NetworkX DiGraph from a sentence
            • Detect dependencies
            • Process a collection of documents
            Get all kandi verified functions for this library.

            NegBio Key Features

            No Key Features are available at this moment for NegBio.

            NegBio Examples and Code Snippets

            No Code Snippets are available at this moment for NegBio.

            Community Discussions

            QUESTION

            Why am I getting ModuleNotFoundError after installing Negbio?
            Asked 2021-Apr-28 at 20:17

            Building a docker image, I've installed Negbio in my Dockerfile using:

            ...

            ANSWER

            Answered 2021-Apr-26 at 11:00

            As per your comment, It wouldn't install with pip and hence not installing via pip.

            Firstly, to make sure the https://github.com/ncbi-nlp/NegBio is properly installed via python setup.py install, you need to install it's dependencies via pip install -r requirements first. So either ways, you are doomed to have pip inside Docker.

            For example, this is the sample Dockerfile that would install the negbio package properly:

            Source https://stackoverflow.com/questions/67127453

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

            Vulnerabilities

            No vulnerabilities reported

            Install NegBio

            You can download it from GitHub.
            You can use NegBio 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 .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

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

          • CLI

            gh repo clone ncbi-nlp/NegBio

          • sshUrl

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

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Consider Popular Natural Language Processing Libraries

            transformers

            by huggingface

            funNLP

            by fighting41love

            bert

            by google-research

            jieba

            by fxsjy

            Python

            by geekcomputers

            Try Top Libraries by ncbi-nlp

            bluebert

            by ncbi-nlpPython

            BioSentVec

            by ncbi-nlpJupyter Notebook

            BLUE_Benchmark

            by ncbi-nlpPython

            BioWordVec

            by ncbi-nlpPython

            DeepSeeNet

            by ncbi-nlpPython