s-tokenizer | specific natural language text in Stack Overflow

by YeDeheng Python Version: Current License: No License

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

kandi X-RAY | s-tokenizer Summary

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

This is a tokenizer for processing the software-specific natural language text in Stack Overflow. Such text is both social, e.g., people use ungrammatical and informal language in Stack Overflow like what they do in tweets, and domain-specific, e.g., printf() should be recognized as one token rather than 3 tokens printf, '(' and ')'. This tokenizer is based on a Twitter tokenizer. Acknowledgement goes to Brendan O'Connor, Kevin Gimpel and Daniel Mills, who are the authors of the original Twitter tokenizer. This tokenizer modifies their Twitter one.

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Support

s-tokenizer has a low active ecosystem.

It has 3 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

s-tokenizer has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of s-tokenizer is current.

Quality

s-tokenizer has no bugs reported.

Security

s-tokenizer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

s-tokenizer 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

s-tokenizer releases are not available. You will need to build from source code and install.

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

Top functions reviewed by kandi - BETA

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

Tokenize a string .
Tokenize a tweet .
Align tokens to the original .
Split pre_tokens .
Analyze a Tweet .
Removes punctuation from a string .
Return a subset of the tokens .
Regex representation of a string .
Builds a regular expression .
Convert string to unicode .

Get all kandi verified functions for this library.

s-tokenizer Key Features

No Key Features are available at this moment for s-tokenizer.

s-tokenizer Examples and Code Snippets

No Code Snippets are available at this moment for s-tokenizer.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install s-tokenizer

You can download it from GitHub.
You can use s-tokenizer 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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