# E-commerce Scenario

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.

Vision Transformer (ViT)-based clothing image classification model with approximately 78% accuracy

A DistilBERT fine-tuned model for customer feedback classification, accurately categorizing text into six predefined categories

This model is a fine-tuned version of bert-base-multilingual-uncased on the Amazon US customer review dataset, used to predict the sentiment star rating (1 to 5 stars) of product reviews.

A text classification model trained on Chinese dialogue emotion datasets, supporting binary classification: positive and negative.

A text classification model fine-tuned on Amazon Chinese review dataset based on bert-base-chinese