FakeNewsNet | This is a dataset for fake news detection research

by KaiDMML Python Version: Current License: No License

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

kandi X-RAY | FakeNewsNet Summary

FakeNewsNet is a Python library. FakeNewsNet has no bugs, it has no vulnerabilities, it has build file available and it has medium support. You can download it from GitHub.

Complete dataset cannot be distributed because of Twitter privacy policies and news publisher copy rights. Social engagements and user information are not disclosed because of Twitter Policy. This code repository can be used to download news articles from published websites and relevant social media data from Twitter.

Support

Quality

Security

License

Reuse

Support

FakeNewsNet has a medium active ecosystem.

It has 879 star(s) with 392 fork(s). There are 40 watchers for this library.

It had no major release in the last 6 months.

There are 45 open issues and 19 have been closed. On average issues are closed in 44 days. There are 10 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of FakeNewsNet is current.

Quality

FakeNewsNet has 0 bugs and 0 code smells.

Security

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

FakeNewsNet code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

FakeNewsNet 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

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

Build file is available. You can build the component from source.

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

It has 603 lines of code, 59 functions and 11 files.

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

Top functions reviewed by kandi - BETA

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

Dump information about a tweet
Get resource index
Returns the stream for the given resource type
Create directory if necessary
Dump the retweets job
Collect user profiles
Returns a set of all user ids in the folder
Performs multiprocessing data collection
Dump user timeline job
Dump a user profile job
Collects data for each choice
Collect user friends data
Collect data for each choice
Dump user followers info
Fetch a list of user follower ids
Dump user info to a file
Fetch user friends ids of a user
Download the dataset
Return a collector object
Collect data from choices
Loads the news file
Collects all retweets from news_list
Collect news articles from choices
Collect news articles
Crawl the news article
Collect all news items from choices

Get all kandi verified functions for this library.

FakeNewsNet Key Features

No Key Features are available at this moment for FakeNewsNet.

FakeNewsNet Examples and Code Snippets

No Code Snippets are available at this moment for FakeNewsNet.

Community Discussions

Trending Discussions on FakeNewsNet

how to read nested json file in pandas dataframe?

QUESTION

how to read nested json file in pandas dataframe?

Asked 2019-Mar-07 at 07:30

I learned how to load and read json file in pandas dataframe. However, I have multiple json files about news and each json file hold a rather complicated nested structure to represent news content and its metadata. I need to read them in pandas dataframe for next downstream analysis. So I figured out how to load and read json file in python. However, the solution that I learned for my json file doesn't work for me. Here is example json data snippet on the fly: example json file and here is what I tried:

...

ANSWER

Answered 2019-Mar-07 at 05:42

You need to orient your dataframe. Try the below code to update your Update 2 Approach:

Source https://stackoverflow.com/questions/55035206

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

Vulnerabilities

No vulnerabilities reported

Install FakeNewsNet

You can download it from GitHub.
You can use FakeNewsNet 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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