Fake_News_Detection | Fake News Detection in Python | Mock library

by nishitpatel01 Jupyter Notebook Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | Fake_News_Detection Summary

Fake_News_Detection is a Jupyter Notebook library typically used in Testing, Mock applications. Fake_News_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 Python

Support

Quality

Security

License

Reuse

Support

Fake_News_Detection has a low active ecosystem.

It has 399 star(s) with 279 fork(s). There are 23 watchers for this library.

It had no major release in the last 6 months.

There are 10 open issues and 7 have been closed. On average issues are closed in 107 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Fake_News_Detection is current.

Quality

Fake_News_Detection has 0 bugs and 0 code smells.

Security

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

Fake_News_Detection code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Fake_News_Detection is licensed under the MIT License. This license is Permissive.

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

Reuse

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

Installation instructions, examples and code snippets are available.

It has 9898 lines of code, 24 functions and 11 files.

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

Top functions reviewed by kandi - BETA

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

Compute the most informative features
Detects fake news
Predict a message
Compute the mean of words
Plot a learning curve
Fit the model
Create bigrams
Create unigram from words
Stem a list of words
Stem a list of tokens
Builds the confusion matrix
Plots the recall curve
Return the prediction
Function to detect fake news
Creates a distribution plot

Get all kandi verified functions for this library.

Fake_News_Detection Key Features

No Key Features are available at this moment for Fake_News_Detection.

Fake_News_Detection Examples and Code Snippets

No Code Snippets are available at this moment for Fake_News_Detection.

Community Discussions

Trending Discussions on Fake_News_Detection

Flask webapp : 'Token' object has no attribute 'test' | render_template error

QUESTION

Flask webapp : 'Token' object has no attribute 'test' | render_template error

Asked 2021-May-23 at 19:14

Code in Fake_News_Det.py :

...

ANSWER

Answered 2021-May-23 at 19:14

there try to change the python version. sometimes downgrading and upgrading helps.

It will best work on 2.7.8+

Source https://stackoverflow.com/questions/67653286

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

Vulnerabilities

No vulnerabilities reported

Install Fake_News_Detection

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live 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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