1MENU/Korean_ABSA_model
[🎖️1등(장관상) 솔루션] 2022 국립국어원 인공 지능 언어 능력 평가 (쇼핑몰 리뷰 데이터 속성 기반 감성 분석 : Aspect-Based Sentiment Analysis)
This project helps businesses understand customer feedback by automatically pinpointing specific product or service aspects and the sentiment associated with them. It takes raw Korean-language reviews, like those from a shopping mall or restaurant, and outputs a detailed breakdown of what customers liked or disliked about particular features (e.g., 'price' of 'noodles' was 'positive'). This is for product managers, customer insights analysts, or marketing professionals who need to analyze large volumes of Korean customer reviews.
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Use this if you need to extract granular sentiment (positive, negative, neutral) towards specific attributes of entities mentioned in Korean text, such as product reviews or service feedback.
Not ideal if you only need a general positive/negative sentiment for an entire Korean sentence or if your data is not primarily in Korean.
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11
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Language
Python
License
LGPL-2.1
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Last pushed
Jun 06, 2023
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