FakeNewsDetection-24Hr-AI-challenge-

Build AI fake news detection using machine learning

https://kandi.openweaver.com/collections/techforgood2022/spotting-fake-news

Kit Deployment Instructions

For Windows OS,

Download, extract and double-click the kit installer file to install the kit.

Note: Do ensure to extract the zip file before running it. The installation may take from 2 to 10 minutes based on bandwidth.

1. When you're prompted during the installation of the kit, press Y to launch the app automatically and execute cells in the notebook by selecting Cell --> Run All from Menu bar
2. To run the app manually, press N when you're prompted and locate the zip file 'kit_installer.zip'
3. Extract the zip file and navigate to the directory 'fake-news-detection-main'
4. Open command prompt in the extracted directory 'fake-news-detection' and run the command 'jupyter notebook'

For other Operating System,

1. Click here to install python
2. Click here to download the repository
3. Extract the zip file and navigate to the directory 'fakenews-detection-main'
4. Open terminal in the extracted directory 'fakenews-detection-main'
5. Install dependencies by executing the command 'pip install -r requirements.txt'
6. Run the command ‘jupyter notebook’ and select the notebook ‘FakeNewsdetection-starter.ipynb’ on the browser window. Instructions to Run

Follow the below instructions to run the solution.

1. Locate and open the FakeNewsDetection-starter.ipynb notebook from the Jupyter Notebook browser window.
2. Execute cells in the notebook by selecting Cell --> Run All from Menu bar
3. Once all the cells of the notebook are executed, the prediction result will be written to the file 'fake_news_test_output.csv'

Training with your dataset:

1. Add news articles to a csv file under a column name 'news_text'.
2. Add corresponding labels as 'real' or 'fake' denoting whether a news article is real or not.
3. You can refer to the file 'fake_news_train.csv' for an example.
4. Set the variable for training file in the notebook under Variables section.

Testing with your dataset:

1. Add news articles to a csv file under a column name 'news_text'.
2. You can refer to the file 'fake_news_test.csv' for an example.
3. Set the variable for testing file in the notebook under Variables section.

You can execute the cells of notebook by selecting Cell from the menu bar.