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Autotrain Imdb 1166543179

Developed by ameerazam08
This is a binary classification model trained using AutoTrain, specifically designed for sentiment analysis of IMDB movie reviews.
Downloads 26
Release Time : 7/22/2022

Model Overview

The model is trained on the AutoTrain framework for sentiment classification (positive/negative) of IMDB movie reviews, with high accuracy and F1 score.

Model Features

High Accuracy
Achieves 94.18% accuracy on the validation set
Balanced Performance
Balanced precision (94.41%) and recall (93.92%) performance
Excellent AUC Score
AUC score of 0.982, indicating strong classification capability
Low Carbon Emission Training
Training process produces only 0.5 grams of CO2 equivalent emissions

Model Capabilities

Text Classification
Sentiment Analysis
English Text Processing

Use Cases

Movie Review Analysis
Movie Review Sentiment Classification
Automatically determines whether an IMDB movie review is positive or negative
94.18% accuracy
Content Moderation
User-Generated Content Sentiment Analysis
Identifies sentiment tendencies in user reviews for content moderation and feedback analysis
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