tweetokenize | Twitter data used to train classifiers

by jaredks Python Version: Current License: Non-SPDX

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

kandi X-RAY | tweetokenize Summary

tweetokenize is a Python library. tweetokenize has no bugs, it has no vulnerabilities, it has build file available and it has low support. However tweetokenize has a Non-SPDX License. You can download it from GitHub.

Regular expression based tokenizer for Twitter. Focused on tokenization and pre-processing to train classifiers for sentiment, emotion, or mood. Intended as glue between Python wrappers for Twitter API and machine learning algorithms of the Natural Language Toolkit (NLTK), but probably applicable to tokenizing any short messages of the social networking variety.

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Quality

Security

License

Reuse

Support

tweetokenize has a low active ecosystem.

It has 71 star(s) with 33 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 1 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of tweetokenize is current.

Quality

tweetokenize has 0 bugs and 0 code smells.

Security

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

tweetokenize code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tweetokenize has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

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

Installation instructions, examples and code snippets are available.

tweetokenize saves you 1283 person hours of effort in developing the same functionality from scratch.

It has 2883 lines of code, 49 functions and 21 files.

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

Top functions reviewed by kandi - BETA

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

Initialize the lexicon .
separate words and punctuation
Return a list of tokens that match the given text .
Convert HTML entities .
Return a unicode object .
Check if a string is an emoji .

Get all kandi verified functions for this library.

tweetokenize Key Features

No Key Features are available at this moment for tweetokenize.

tweetokenize Examples and Code Snippets

No Code Snippets are available at this moment for tweetokenize.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install tweetokenize

After installation, you can make sure everything is working by running the following inside the project root folder,.

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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