metadata
language: en
license: mit
tags:
- nlp
- sentiment-analysis
- bilstm
- attention-mechanism
metrics:
- accuracy
BiLSTM Sentiment Analysis with Attention
This model was developed as part of my M.Tech research at NIT Kurukshetra. It uses a Bidirectional LSTM architecture with a custom Attention mechanism to classify sentiment in text (IMDB dataset).
Model Performance
- Accuracy: 89.40%
- Architecture: BiLSTM + Attention Layer + Dense Output
- Framework: PyTorch
How to use
# I will provide the loading code once you define your class structure!