#96 Added Fake news detection with TF-IDF and ML

[swati-singh23]

⚡️ Fake News Detection

Description:

This Pull Request implements a basic framework for fake news detection using TF-IDF and a Passive Aggressive Classifier. It includes the following functionalities:➡️

1.Data Loading and Preprocessing:

Reads news articles and labels (fake/real) from a CSV file (news.csv).

2.NLP (TF-IDF):

Applies TF-IDF (Term Frequency-Inverse Document Frequency) to convert textual content into numerical features for machine learning.

3.Machine Learning Model:

Trains a Passive Aggressive Classifier to learn patterns that distinguish fake from real news based on TF-IDF features.

4.Prediction:

Provides a function fake_news_det(news) to predict labels (fake or real) for new, unseen news content.

5.Code Readability:

Enhances code readability by adding comments that explain the NLP and ML stages involved.

Improvements and Benefits:

✨This implementation offers a starting point for exploring fake news detection with machine learning.
✨The inclusion of TF-IDF as a feature extraction technique allows the model to focus on words that are important for a particular news article but not overly common in the entire dataset.
✨Clear comments improve understanding and maintainability of the code.

[github-actions]

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