# Movie Review Classification

A fine-tuned model optimized for Spanish sentiment analysis, based on BETO (a Spanish pre-trained BERT model), suitable for text sentiment classification tasks such as movie reviews.

A sentiment analysis model fine-tuned on the IMDb movie review dataset using the DistilBERT architecture, designed to classify text as positive or negative sentiment.

This is a binary classification model trained using AutoTrain, specifically designed for sentiment analysis of IMDB movie reviews.

French sentiment analysis model based on CamemBERT, fine-tuned on a large-scale dataset of user reviews from Allociné.fr

A base model based on the roBERTa architecture, trained on the IMDB dataset for sentiment analysis tasks.

This model is a lightweight text classification model based on the DistilBERT architecture, specifically fine-tuned for the task of positive sentiment analysis on IMDb movie reviews.

This is a binary classification model trained using AutoNLP, primarily used for sentiment analysis tasks.

A text classification model fine-tuned on the IMDB movie review dataset based on the BERT base model, achieving an accuracy of 91.26%

This model is a fine-tuned version of Microsoft's MiniLM-L12-H384-uncased on the IMDB dataset, primarily used for sentiment analysis tasks.

This is a DistilBERT model fine-tuned on negative IMDb reviews for sentiment analysis tasks.

A text classification model fine-tuned on the IMDB movie review dataset based on DistilBERT-base-uncased for sentiment analysis tasks