fake-news | Mock library

by CogitoNTNU Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | fake-news Summary

fake-news is a Python library typically used in Testing, Mock applications. fake-news has no bugs, it has no vulnerabilities and it has low support. However fake-news build file is not available. You can download it from GitHub.

fake-news

Support

Quality

Security

License

Reuse

Support

fake-news has a low active ecosystem.

It has 2 star(s) with 1 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 14 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of fake-news is current.

Quality

fake-news has 0 bugs and 0 code smells.

Security

fake-news has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

fake-news code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

fake-news 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

fake-news releases are not available. You will need to build from source code and install.

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

It has 623 lines of code, 31 functions and 6 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 and discovered the below as its top functions. This is intended to give you an instant insight into fake-news implemented functionality, and help decide if they suit your requirements.

Generate text .
Loads twitter data from a file .
Main function .
Generate a LSTM model .
Load embeddings .
Generate an LSTM model .
load generic tweet tweets
Extracts the data set from the data
Filters out a list of tweets in a given vocabulary .
Event handler .

Get all kandi verified functions for this library.

fake-news Key Features

No Key Features are available at this moment for fake-news.

fake-news Examples and Code Snippets

No Code Snippets are available at this moment for fake-news.

Community Discussions

Trending Discussions on fake-news

How to fix broken CSV file where column values are not formatted properly?

Extract emojis from tweets in R

Trying to separate my data points into multiple arrays, instead of having one big array

found input variables with inconsistent number of samples error

How to display a message and close settings window in HTML?

QUESTION

How to fix broken CSV file where column values are not formatted properly?

Asked 2021-May-06 at 00:10

I have a dataframe that has a weird format that I am having difficulty formatting it to a desired format. I just need the columns first_name, last_name, domain, Email, Verification and status but am not sure how to remove it when it is in this format.

...

ANSWER

Answered 2021-May-04 at 18:18

You can read the file with pandas.read_csv() with error_bad_lines=False:

Source https://stackoverflow.com/questions/67389735

QUESTION

Extract emojis from tweets in R

Asked 2020-Apr-24 at 10:55

I'm doing feature extraction from labelled Twitter data to use for predicting fake tweets. I've been spending a lot of time on various GitHub methods, R libraries, stackoverflow posts, but somehow I couldn't find a "direct" method of extracting features related to emojis, e.g. number of emojis, whether the tweet contains emoji(1/0) or even occurrence of specific emojis(that might occur more often in fake/real news). I'm not sure whether there is a point in showing reproducible code.

"Ore" library, for example, offers functions that gather all tweets in an object and extracts emojis, but the formats are problematic (at least, to me) when trying to create features out of the extractions, as mentioned above. The example below uses a whatsapp text sample. I will add twitter data from kaggle to make it somewhat reproducible. Twitter Dataset: https://github.com/sherylWM/Fake-News-Detection-using-Twitter/blob/master/FinalDataSet.csv

...

ANSWER

Answered 2020-Apr-24 at 10:55

I wrote a function for this purpose in my package rwhatsapp.

As your example is a whatsapp dataset, you can test it directly using the package (install via remotes::install_github("JBGruber/rwhatsapp"))

Source https://stackoverflow.com/questions/61216342

QUESTION

Trying to separate my data points into multiple arrays, instead of having one big array

Asked 2020-Apr-09 at 19:33

Im working on an nlp project and am working with fake news, with one of the inputs being the headlines. I have tokenized my headlines in the following format:

...

ANSWER

Answered 2020-Apr-09 at 19:33

You are iterating over each word and appending them one at a time to the list, which is why it is flattening. Instead of appending each word you need to append the filtered list. This is probably clearer if you do it as a list comprehension:

Source https://stackoverflow.com/questions/61128739

QUESTION

found input variables with inconsistent number of samples error

Asked 2020-Apr-06 at 22:56

Im trying to train a model, however when I fit the model, I am getting the following error:

...

ANSWER

Answered 2020-Apr-06 at 22:56

I think you have one feature and 3608 records, but the code thinks there is one sample with 3608 features.

change the code where x and y are defined as follows.

Source https://stackoverflow.com/questions/61068176

QUESTION

How to display a message and close settings window in HTML?

Asked 2020-Mar-14 at 18:22

I am working on a chrome extension and I want to be able to have a response when the 'done' button is clicked, the settings window should close and the user would receive a message :

Here is the code for the settings page: settings.html

...

ANSWER

Answered 2020-Mar-14 at 18:22

So from my understanding, you are trying to close the window when the "DONE" button is clicked, if so: You can remove the onclick attribute from the button tag and attach an EventListener to the button itself like so:

Source https://stackoverflow.com/questions/60685754

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

Vulnerabilities

No vulnerabilities reported

Install fake-news

You can download it from GitHub.
You can use fake-news 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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