Fake_News_Detection | Fake News Detection in Python | Mock library

 by   nishitpatel01 Jupyter Notebook Version: Current License: MIT

kandi X-RAY | Fake_News_Detection Summary

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

            kandi-support 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.

            kandi-Quality Quality

              Fake_News_Detection has 0 bugs and 0 code smells.

            kandi-Security 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.

            kandi-License 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.

            kandi-Reuse 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


            Flask webapp : 'Token' object has no attribute 'test' | render_template error
            Asked 2021-May-23 at 19:14

            Code in Fake_News_Det.py :



            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


            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.


            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 .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
          • HTTPS


          • CLI

            gh repo clone nishitpatel01/Fake_News_Detection

          • sshUrl


          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link