ChineseNLPCorpus | Chinese natural language processing data sets

by InsaneLife Python Version: Current License: No License

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

kandi X-RAY | ChineseNLPCorpus Summary

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

Chinese natural language processing data sets, usually used as materials for experiments. Supplementary commits are welcome.

Support

Quality

Security

License

Reuse

Support

ChineseNLPCorpus has a medium active ecosystem.

It has 3471 star(s) with 725 fork(s). There are 83 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 3 have been closed. On average issues are closed in 32 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ChineseNLPCorpus is current.

Quality

ChineseNLPCorpus has 0 bugs and 15 code smells.

Security

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

ChineseNLPCorpus code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ChineseNLPCorpus does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

ChineseNLPCorpus has no build file. You will be need to create the build yourself to build the component from source.

ChineseNLPCorpus saves you 154 person hours of effort in developing the same functionality from scratch.

It has 383 lines of code, 14 functions and 3 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed ChineseNLPCorpus and discovered the below as its top functions. This is intended to give you an instant insight into ChineseNLPCorpus implemented functionality, and help decide if they suit your requirements.

Convert data to a pkl file .
Generates word tag for training .
Handle the origin file .
Converts from origin to tag .
Read origin handle 2 .
Splits the text in sorted order .
Convert the max length of words to max length .
Split sentence .
adding ids .

Get all kandi verified functions for this library.

ChineseNLPCorpus Key Features

No Key Features are available at this moment for ChineseNLPCorpus.

ChineseNLPCorpus Examples and Code Snippets

No Code Snippets are available at this moment for ChineseNLPCorpus.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install ChineseNLPCorpus

You can download it from GitHub.
You can use ChineseNLPCorpus 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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