Fake-News-Detection

Fake News Detection | NLP | Python | Final Year Project

This is my final year project where I used Python and Machine Learning methods to detect fake news.

Steps to run

1. Install Python 3.x [NOTE: 3.x means any version with 3]

2. Create a Separate Folder

3. Run CMD/PowerShell inside that Folder

4. Run the following command

   1. pip install virualenv (This will install a virual environment for our project.)

      After Instaling

   2. virualenv my_env (This will intialte the virual environment with my_env name. you can give any name of your choice)

   3. cd my_env (Then go inside the my_env Folder)

   4. Scripts\activate (activate the virualenv)

5. Copy all the codes and the requirements.txt file inside my_env

6. pip install -r requirements.txt (It will install all the dependecies for the project.)

7. Go to this Dataset and download all the neccesary datasets

   (For now you can only Download the tranning.csv file)

8. Create a Folder datasets inside the same folder(i.e my_env) Copy the datsets inside this.

9. Run the classsifier files and see the output

Reading

• The Codes are well documented. Read More
  • Naive Bayes
  • Support Vector Machine
  • Random Forest
  • Logarithemic Regression
  • Confussion Matrix

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