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Autonlp Imdb Test 21134442
A
Autonlp Imdb Test 21134442
Developed by mmcquade11
This is a binary classification model trained via AutoNLP for IMDB review sentiment analysis
Downloads 16
Release Time : 3/2/2022
Model Overview
This model is trained on the AutoNLP framework, specifically designed for sentiment polarity classification (positive/negative) of IMDB movie reviews
Model Features
High-performance classification
Achieves 93.93% accuracy on IMDB test data
Balanced metrics
Balanced performance in precision (93.6%) and recall (94.3%)
Excellent discriminative ability
AUC value reaches 0.984, showing excellent class discrimination capability
Model Capabilities
English text sentiment analysis
Review classification
Binary text classification
Use Cases
Sentiment analysis
Movie review classification
Automatically determines the sentiment polarity (positive/negative) of IMDB movie reviews
Achieves 93.93% accuracy on the test set
Content moderation
User feedback classification
Classifies sentiment polarity of user-submitted feedback
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