simtext | 计算两文档间文本相似性指标

by thunderhit Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | simtext Summary

simtext is a Python library. simtext has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install simtext' or download it from GitHub, PyPI.

具体算法介绍可翻看Cohen, Lauren, Christopher Malloy&Quoc Nguyen(2018) 第60页.

Support

Quality

Security

License

Reuse

Support

simtext has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

simtext has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of simtext is current.

Quality

simtext has no bugs reported.

Security

simtext has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

simtext is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

simtext releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

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simtext Key Features

No Key Features are available at this moment for simtext.

simtext Examples and Code Snippets

No Code Snippets are available at this moment for simtext.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install simtext

You can install using 'pip install simtext' or download it from GitHub, PyPI.
You can use simtext 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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