fakenews-detection | Fake News detection in news articles

by kandikits Jupyter Notebook Version: v1.0.0 License: Apache-2.0

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

kandi X-RAY | fakenews-detection Summary

fakenews-detection is a Jupyter Notebook library. fakenews-detection has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Fake News detection in news articles

Support

Quality

Security

License

Reuse

Support

fakenews-detection has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

fakenews-detection has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of fakenews-detection is v1.0.0

Quality

fakenews-detection has no bugs reported.

Security

fakenews-detection has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

fakenews-detection 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

fakenews-detection releases are available to install and integrate.

Installation instructions are available. Examples and code snippets are not available.

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fakenews-detection Key Features

No Key Features are available at this moment for fakenews-detection.

fakenews-detection Examples and Code Snippets

No Code Snippets are available at this moment for fakenews-detection.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install fakenews-detection

Refer kits from the link below to jumpstart the app.
Once the python is installed, install all the dependencies by running the below command. pip3 install -r requirements.txt.

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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