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Albert Base V2 Sst2
A
Albert Base V2 Sst2
Developed by Alireza1044
A text classification model fine-tuned on the GLUE SST2 dataset based on albert-base-v2 for sentiment analysis tasks
Downloads 146
Release Time : 3/2/2022
Model Overview
This model is optimized for the SST2 sentiment analysis dataset and can determine the sentiment tendency of text (positive/negative)
Model Features
High Accuracy
Achieves 92.3% accuracy on the SST2 evaluation set
Based on ALBERT
Fine-tuned using the lightweight and efficient ALBERT architecture
Sentiment Analysis
Specifically optimized for sentiment analysis tasks
Model Capabilities
Text Classification
Sentiment Analysis
Use Cases
Sentiment Analysis
Product Review Analysis
Analyze the sentiment tendency of user reviews
Can automatically determine if a review is positive or negative
Social Media Monitoring
Monitor user sentiment tendencies on social media
Real-time understanding of public sentiment changes
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