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imdb-sentiment-mlp – AI Model by ceilf6 | AlphaNeural AI

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ceilf6/
imdb-sentiment-mlp

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sentiment-analysis

text-classification

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IMDB Sentiment MLP

This model is a course project for IMDB movie-review sentiment classification.

It uses a TF-IDF text representation followed by a small scikit-learn MLP neural network.

Metrics

Accuracy: 82.00%
Train samples: 400
Test samples: 100
Dataset: imdb_top_500.csv
Labels: 0 = negative, 1 = positive

Files

model.joblib: full scikit-learn pipeline
vectorizer.joblib: standalone TF-IDF vectorizer
metrics.json: training and evaluation metrics

Example

python

import joblib

model = joblib.load("model.joblib")
prediction = model.predict(["This movie is great and deeply moving."])[0]
print("positive" if prediction == 1 else "negative")