FakeNewsDetection | Chunyuan Yuan , Qianwen Ma , Wei Zhou

by chunyuanY Python Version: Current License: No License

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

kandi X-RAY | FakeNewsDetection Summary

FakeNewsDetection is a Python library. FakeNewsDetection has no bugs, it has no vulnerabilities and it has low support. However FakeNewsDetection build file is not available. You can download it from GitHub.

Chunyuan Yuan, Qianwen Ma, Wei Zhou, Jizhong Han, Songlin Hu. Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users Based on Weakly Supervised Learning, COLING 2020.

Support

Quality

Security

License

Reuse

Support

FakeNewsDetection has a low active ecosystem.

It has 6 star(s) with 2 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

FakeNewsDetection has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FakeNewsDetection is current.

Quality

FakeNewsDetection has no bugs reported.

Security

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

License

FakeNewsDetection does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

FakeNewsDetection has no build file. You will be need to create the build yourself to build the component from source.

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

Top functions reviewed by kandi - BETA

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

Fit the model
Predict the model
Adjust the current learning rate
Evaluate the classification
Extract data from corpus
Build input data
Pad a sequence
Builds the embedding_word_vec
Performs the prediction
Computes the user - provided model for a given user
Encoder encoder
Encoder for retweeting user
Train and test the model
Load dataset

Get all kandi verified functions for this library.

FakeNewsDetection Key Features

No Key Features are available at this moment for FakeNewsDetection.

FakeNewsDetection Examples and Code Snippets

No Code Snippets are available at this moment for FakeNewsDetection.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install FakeNewsDetection

You can download it from GitHub.
You can use FakeNewsDetection 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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