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Dbert Sentiment
D
Dbert Sentiment
Developed by baikalai
Korean sentiment analysis model based on DBERT architecture for text sentiment classification
Downloads 19
Release Time : 3/2/2022
Model Overview
This model is a Korean sentiment analysis model based on the DBERT architecture, primarily used for classifying the sentiment polarity of Korean texts to determine whether the expressed sentiment is positive or negative.
Model Features
Korean Sentiment Analysis
Sentiment analysis capability specifically optimized for Korean texts
Lightweight Model
Based on the Distilled BERT architecture, making it more lightweight compared to the original BERT model
Easy to Use
Can be quickly deployed and used via the Hugging Face Transformers library
Model Capabilities
Text sentiment classification
Korean text analysis
Use Cases
Social Media Analysis
Comment Sentiment Analysis
Analyze the sentiment polarity of Korean comments on social media
Can automatically determine whether a comment is positive or negative
Product Feedback Analysis
Customer Feedback Classification
Perform sentiment classification on Korean product reviews
Helps quickly understand customer satisfaction levels
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