감정분석 기반 심리상담 AI 챗봇 시스템에 대한 연구

• 영문명: A Study on the Psychological Counseling AI Chatbot System based on Sentiment Analysis
• 발행기관: 한국IT서비스학회
• 저자명: 안세훈(Se Hun An) 정옥란(Ok Ran Jeong)
• 간행물 정보: 『한국IT서비스학회지』한국IT서비스학회지 제20권 제3호, 75~86쪽, 전체 12쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2021.06.30

영문 초록

As artificial intelligence is actively studied, chatbot systems are being applied to various fields. In particular, many chatbot systems for psychological counseling have been studied that can comfort modern people. However, while most psychological counseling chatbots are studied as rule-base and deep learning-based chatbots, there are large limitations for each chatbot. To overcome the limitations of psychological counseling using such chatbots, we proposes a novel psychological counseling AI chatbot system. The proposed system consists of a GPT-2 model that generates output sentence for Korean input sentences and an Electra model that serves as sentiment analysis and anxiety cause classification, which can be provided with psychological tests and collective intelligence functions. At the same time as deep learning-based chatbots and conversations take place, sentiment analysis of input sentences simultaneously recognizes user’s emotions and presents psychological tests and collective intelligence solutions to solve the limitations of psychological counseling that can only be done with chatbots. Since the role of sentiment analysis and anxiety cause classification, which are the links of each function, is important for the progression of the proposed system, we experiment the performance of those parts. We verify the novelty and accuracy of the proposed system. It also shows that the AI chatbot system can perform counseling excellently.

목차

1. 서 론

2. 관련 연구

3. AI 챗봇 시스템

4. 실 험

5. 결 론

참고문헌

키워드

Electra GPT-2 Sentiment Analysis AI Chatbot Psychological Counseling