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## Overview
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This repository contains a fine-tuned model for **Korean Sentiment Analysis (ํ๊ตญ์ด ๊ฐ์ ๋ถ์)** using a **Large Language Model (LLM)**, specifically designed for **YouTube comments** in **Korean**. The model classifies sentiments into **Positive**, **Negative**, and **Neutral** categories, and is fine-tuned to detect not only direct emotions but also subtle features like **irony (๋ฐ์ด๋ฒ)** and **sarcasm (ํ์)** common in Korean-language content.
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### Sentiment Classification:
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- **Positive (๊ธ์ )**
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## Overview
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This repository contains a fine-tuned model for **Korean Sentiment Analysis (ํ๊ตญ์ด ๊ฐ์ ๋ถ์)** using a **Large Language Model (LLM)**, specifically designed for **YouTube comments** in **Korean**. The model classifies sentiments into **Positive(๊ธ์ )**, **Negative(๋ถ์ )**, and **Neutral(์ค๋ฆฝ)** categories, and is fine-tuned to detect not only direct emotions but also subtle features like **irony (๋ฐ์ด๋ฒ)** and **sarcasm (ํ์)** common in Korean-language content.
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### Sentiment Classification:
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- **Positive (๊ธ์ )**
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