---
language: en
license: mit
tags:
  - sentiment-analysis
  - imdb
  - tensorflow
  - lstm
  - binary_crossentropy
model-index:
  - name: IMDb Sentiment Classifier (LSTM)
    results:
      - task:
          type: text-classification
          name: Sentiment Analysis
        dataset:
          name: IMDb Movie Reviews
          type: imdb
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.72
---

# IMDb Movie Review Sentiment Analysis using LSTM

This model performs binary sentiment classification (positive/negative) on IMDb movie reviews using an LSTM-based neural network built with TensorFlow.

## Model Details

- **Architecture**: LSTM
- **Framework**: TensorFlow/Keras
- **Dataset**: IMDb Movie Reviews (50k)
- **Tokenizer**: TensorFlow `Tokenizer`
- **Accuracy**: 72%

## Sentiment Labels

- `0`: Negative  
- `1`: Positive