Fake News Detection

Data Preprocessing: Clean the data by removing punctuation and short texts. Split the data into training and testing sets. 

Model Selection: Utilize a Recurrent Neural Network (RNN) model, specifically a Long Short-Term Memory (LSTM) network, due to its ability to handle sequential data and capture temporal dependencies. 

Feature Extraction: Extract the most informative features from the data to improve model performance and reduce dimensionality. Model Training and Evaluation: Train the LSTM model using the preprocessed data. Evaluate the model's performance by measuring its accuracy. 

Key Concepts: RNN, LSTM, Feature Extraction