Bert Base Cased Korean Sentiment
This is a Korean sentiment analysis model fine-tuned from a multilingual BERT model, specifically designed for analyzing the sentiment tendencies of Korean customer reviews.
Downloads 2,698
Release Time : 4/25/2025
Model Overview
This model is a fine-tuned version based on bert-base-multilingual-cased, primarily used for sentiment classification tasks in Korean text, capable of distinguishing between positive and negative reviews.
Model Features
Multilingual Support
Fine-tuned from bert-base-multilingual-cased, equipped with multilingual processing capabilities
High Accuracy
Achieves 92.34% accuracy and 92.38% F1 score on the evaluation dataset
Easy to Use
Can be quickly deployed and used via transformers pipeline
Model Capabilities
Korean Text Classification
Sentiment Analysis
Customer Review Analysis
Use Cases
E-commerce
Product Review Analysis
Analyze the sentiment tendencies of Korean product reviews on shopping websites
Can accurately classify positive and negative reviews
Customer Service
Customer Feedback Analysis
Automatically analyze sentiment tendencies in customer feedback
Helps quickly identify dissatisfied customers
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