Fake News Detector App

Description

A Python GUI app for detecting fake news and analysing sentiment. It allows users to select a text file for analysis and displays the results on the GUI.

Preview

Installation

To use this app, you will need to install the following python dependencies:

• nltk
• pandas
• PySide6
• scikit_learn
• vaderSentiment

They can be installed by executing the following command in your terminal:

pip install -r requirements.txt

Usage

To use the app, follow these steps:

1. Launch the app by executing python main.py in your terminal.
2. Click the button with label "Select Article Text File" to select a text file to analyse.
3. Click the "Analyse" button to analyse the selected file.
4. The results of the analysis will be displayed in the GUI.

Features

• Classification of input text as either "fake" or "real" news
• Analysis of the sentiment of the input text
• User-friendly GUI for easy interaction with the app

Acknowledgments

• The dataset used for training the machine learning model can be found at: https://github.com/lutzhamel/fake-news.