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---
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
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