# Movie Review Sentiment Analysis

This is a sentiment analysis model fine-tuned based on BERT, specifically designed to analyze sentiment tendencies (positive or negative) in IMDb movie reviews.

DistilBERT is a lightweight distilled version of BERT, retaining 97% of BERT's performance while being 40% smaller and 60% faster in inference.

A sentiment classification model trained based on the bert-large-cased architecture for analyzing sentiment tendencies in IMDB movie reviews.

This model is based on the roberta-base architecture, fine-tuned on the rotten_tomatoes movie review dataset using TextAttack for text classification tasks in sentiment analysis.

A DistilBert sentiment analysis model trained on the IMDB movie review dataset for text sentiment classification tasks.