Predicting-Cyberbulling-on-Twitter | Using Python to detect cyber

by chantelmariediaz Python Version: Current License: Apache-2.0

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

kandi X-RAY | Predicting-Cyberbulling-on-Twitter Summary

Predicting-Cyberbulling-on-Twitter is a Python library. Predicting-Cyberbulling-on-Twitter has no vulnerabilities, it has a Permissive License and it has low support. However Predicting-Cyberbulling-on-Twitter has 1 bugs and it build file is not available. You can download it from GitHub.

Using Python to detect cyber-bullying on Twitter based on categories and kinds of language used with at-risk tweets

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Quality

Security

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Support

Predicting-Cyberbulling-on-Twitter has a low active ecosystem.

It has 10 star(s) with 17 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 341 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Predicting-Cyberbulling-on-Twitter is current.

Quality

Predicting-Cyberbulling-on-Twitter has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 29 code smells.

Security

Predicting-Cyberbulling-on-Twitter has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Predicting-Cyberbulling-on-Twitter code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Predicting-Cyberbulling-on-Twitter is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

Predicting-Cyberbulling-on-Twitter releases are not available. You will need to build from source code and install.

Predicting-Cyberbulling-on-Twitter has no build file. You will be need to create the build yourself to build the component from source.

It has 828 lines of code, 19 functions and 2 files.

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

Top functions reviewed by kandi - BETA

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

Generates a bag of n - grams .
Compute a bag of words .
Return the trigrams from a list of words .
Generate n - grams from a list of words .
Calculate a bag of words in words .
Return a bag of non - stop words .
Returns a bag of words .
Return the bag of words that are not in the set .

Get all kandi verified functions for this library.

Predicting-Cyberbulling-on-Twitter Key Features

No Key Features are available at this moment for Predicting-Cyberbulling-on-Twitter.

Predicting-Cyberbulling-on-Twitter Examples and Code Snippets

No Code Snippets are available at this moment for Predicting-Cyberbulling-on-Twitter.

Community Discussions

No Community Discussions are available at this moment for Predicting-Cyberbulling-on-Twitter.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install Predicting-Cyberbulling-on-Twitter

You can download it from GitHub.
You can use Predicting-Cyberbulling-on-Twitter 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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