sentenceSimilarity | 基于gensim模块计算句子相似度 -

 by   WenDesi Python Version: Current License: No License

kandi X-RAY | sentenceSimilarity Summary

kandi X-RAY | sentenceSimilarity Summary

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

sentenceSimilarity
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    Quality
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            kandi-support Support

              sentenceSimilarity has a low active ecosystem.
              It has 122 star(s) with 42 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 0 have been closed. On average issues are closed in 1055 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of sentenceSimilarity is current.

            kandi-Quality Quality

              sentenceSimilarity has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              sentenceSimilarity does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              sentenceSimilarity releases are not available. You will need to build from source code and install.
              sentenceSimilarity has no build file. You will be need to create the build yourself to build the component from source.
              sentenceSimilarity saves you 52 person hours of effort in developing the same functionality from scratch.
              It has 138 lines of code, 20 functions and 5 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed sentenceSimilarity and discovered the below as its top functions. This is intended to give you an instant insight into sentenceSimilarity implemented functionality, and help decide if they suit your requirements.
            • Compute the similarity of a sentence
            • Convert a sentence into a vector
            • Sets the score
            • Returns the cuted sentence
            • Creates a TfIDF model
            • Create a corpus from corpus
            • Returns a list of all the sentences in the corpus
            • Create LSI model
            • Creates the LDA model
            • Cut a segment
            • Cut a sentence using the jieba
            Get all kandi verified functions for this library.

            sentenceSimilarity Key Features

            No Key Features are available at this moment for sentenceSimilarity.

            sentenceSimilarity Examples and Code Snippets

            No Code Snippets are available at this moment for sentenceSimilarity.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install sentenceSimilarity

            You can download it from GitHub.
            You can use sentenceSimilarity 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/WenDesi/sentenceSimilarity.git

          • CLI

            gh repo clone WenDesi/sentenceSimilarity

          • sshUrl

            git@github.com:WenDesi/sentenceSimilarity.git

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