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Korean Sentiment

Developed by matthewburke
This is a model for sentiment analysis of Korean text, capable of determining the emotional tendency (positive/negative) of the text.
Downloads 3,049
Release Time : 3/2/2022

Model Overview

This model is based on the Transformer architecture, specifically trained for sentiment analysis tasks on Korean text, suitable for sentiment classification of short texts such as social media posts and comments.

Model Features

Korean Language Optimization
Specially trained and optimized for the characteristics of Korean text
Sentiment Classification
Accurately identifies positive or negative emotional tendencies in text
Short Text Adaptation
Particularly suitable for analyzing short texts like social media posts and comments

Model Capabilities

Text Sentiment Analysis
Korean Text Processing
Binary Classification Prediction

Use Cases

Social Media Analysis
Tweet Sentiment Analysis
Analyze the sentiment tendency of Korean tweets
Identify user attitudes towards specific topics
Product Review Analysis
E-commerce Review Classification
Perform sentiment classification on Korean product reviews
Help merchants understand product feedback
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