Sarcasm Detection in Texts Using Various Models

URL: https://github.com/SimranAnand1/Sarcasm-detection-in-texts-using-various-models

Description

The repository focuses on detecting sarcasm in news headlines using NLP and deep learning techniques. The task of sarcasm detection, which is challenging due to its latent nature in text, is addressed using various models.

Methods and Models

• Models Used:
  1. CNN (Convolutional Neural Networks)
  2. RNN (Recurrent Neural Networks)
  3. BERT (Bidirectional Encoder Representations from Transformers)
  4. Bidirectional LSTM (Long Short-Term Memory)
  5. GRU (Gated Recurrent Units)
  6. LSTM (Long Short-Term Memory)
• Techniques:
  • Polarity scoring to discern text contexts
  • Segregation of texts to identify sarcasm or humor

Results

• No specific results or performance metrics shared.