특허 NLP 분석 기반 AI 컨택센터 IP-R&D 방안

AI Contact Center IP-R&D Scheme based on Patent NLP Analysis

초록

In the era of the 4th industrial revolution, smart use of information and communication technologies(ICT), such as artificial intelligence and big data analysis, is becoming a key factor in improving productivity and performance and driving innovation. In this study, we use artificial intelligence technology to analyze patent information used to identify trends in technological development and change and establish R&D development strategies. We derive core technology keywords through patent analysis using Natural Language Processing(NLP) technology, and suggest ways to effectively identify related core patents. We collected patent documents related to AI contact centers that have evolved from traditional call centers and applied AI application technology, extracted key keywords using NLP analyzer, and then utilized a strategy of re-searching patent documents with the extracted core technology keywords to select patents for IP-R&D. This methodology proposes a digital R&D process that reduces the false positive rate of lexical search when searching patents for detailed technology.

키워드

patent analysisnatural language processingIP-R&Dcontact center.
제목
특허 NLP 분석 기반 AI 컨택센터 IP-R&D 방안
제목 (타언어)
AI Contact Center IP-R&D Scheme based on Patent NLP Analysis
저자
김정희김영민
DOI
10.14801/jkiit.2024.22.2.151
발행일
2024-02
저널명
한국정보기술학회논문지
22
2
페이지
151 ~ 163