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Autonlp Imdb Sentiment Analysis2 7121569
This is a binary classification model trained with AutoNLP, specifically designed for sentiment analysis of IMDB movie reviews.
Downloads 18
Release Time : 3/2/2022
Model Overview
The model can automatically analyze text sentiment, determining whether it is a positive or negative review, suitable for scenarios such as movie reviews and product evaluations.
Model Features
High Accuracy
Achieves an accuracy of 92.71% on the validation set, demonstrating excellent performance.
Comprehensive Evaluation Metrics
Provides multi-dimensional performance metrics including precision, recall, F1 score, and AUC value.
Easy Integration
Supports quick invocation via cURL or Python API, making it easy to integrate into existing systems.
Model Capabilities
Text Sentiment Analysis
Binary Classification
English Text Processing
Use Cases
Film Review Analysis
IMDB Review Sentiment Analysis
Automatically determines whether a movie review is positive or negative.
Accuracy 92.71%, Precision 94.69%
Product Review Analysis
E-commerce Product Review Analysis
Analyzes the sentiment tendency of user reviews on products.
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