🎬 Movie Reviews Sentiment Analysis Model

This model analyzes movie reviews and classify them as "Negative", "Positive", or "Neutral".

Base Model

It is fine-tuned from "cardiffnlp/twitter-roberta-base-sentiment-latest".

Dataset Used

Scraped 742 custom movie reviews from Rotten Tomatoes, augmented the data to 974 reviews to resolve class imbalance, and fine-tuned the final dataset on "cardiffnlp/twitter-roberta-base-sentiment-latest".

How to Use

from transformers import pipeline

classifier = pipeline( "text-classification",
model="hibbariz/movieReview_analysis_model" )

result = classifier("This movie was absolutely amazing!")

print(result)

Performance

Accuracy : 84%

F1 score : Negative: 81%, Neutral: 68%, Positive: 90%

Classification Report

Classification Report

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