Completed2021
Headlines Text Generation using LSTM
Predicted and generated new headlines using NLP and LSTM networks.
PythonNLPLSTMDeep LearningTensorFlow
Built a text generation model using LSTM (Long Short-Term Memory) networks to predict and generate new headlines from a corpus of news data.
The model learns sequential patterns in headline text and generates plausible new headlines by predicting the next word in a sequence. Demonstrates understanding of sequence modeling and natural language generation.
Key Highlights
- LSTM-based sequence model for natural language generation
- Trained on news headline corpus for next-word prediction
- Generates plausible new headlines from learned patterns
Tech Stack
Core
PythonTensorFlowKeras
NLP
LSTMTokenizationSequence Modeling