eventextraction

v1.1

中文复合事件抽取,可以用来识别文本的模式,包括条件事件、因果事件、顺承事件、反转事件。代码为刘焕勇原创设计,项目地址https://github.com/liuhuanyong/ComplexEventExtraction 项目介绍很详细,感兴趣的一定要去原项目看一下。我仅仅是对代码做了简单的修改,增加了函数说明注释和stats函数,可以用于统计文本中各种模式的分布(数量)情况。 For more information about how to use this package see README

Latest version published 3 years ago
License: MIT

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Package Health Score

42 / 100

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Popularity

Limited
GitHub Stars
25
Forks
6
Contributors
1

Direct Usage Popularity


Based on project statistics from the GitHub repository for the PyPI package eventextraction, we found that it has been starred 25 times.

Security

No known security issues
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1.1 (Latest)

Security and license risk for latest version

Release Date
May 14, 2021
Direct Vulnerabilities
  • 0
    C
  • 0
    H
  • 0
    M
  • 0
    L
Indirect Vulnerabilities
  • 0
    C
  • 0
    H
  • 0
    M
  • 0
    L
License Risk
  • 0
    H
  • 0
    M
  • 0
    L
All security vulnerabilities belong to production dependencies of direct and indirect packages.

License
MIT

Security Policy
No

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Maintenance

Inactive

Commit Frequency

No Recent Commits
Open Issues
0
Open PR
0
Last Release
3 years ago
Last Commit
3 years ago

Further analysis of the maintenance status of eventextraction based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

An important project maintenance signal to consider for eventextraction is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Limited
Readme
Yes
Contributing.md
No
Code of Conduct
No
Contributors
1
Funding
No

This project has seen only 10 or less contributors.

We found a way for you to contribute to the project! Looks like eventextraction is missing a Code of Conduct.


Embed Package Health Score Badge

package health: 42/100 package health 42/100

Package

Python Versions Compatibility
>=3.5

Age
5 years
Latest Release
3 years ago
Dependencies
N/A
Versions
3
Maintainers
1
Wheels
OS Independent