• Journal of information and communication convergence engineering
• /
• v.21 no.3
• /
• pp.239-243
• /
• 2023

Owing to the environment in which it has become difficult to face people, on-tact communication has been activated, and online video conferencing platforms have become indispensable collaboration tools. Although costs have dropped and productivity has improved, communication remains poor. Recently, various companies, including existing online videoconferencing companies, have attempted to solve communication problems by establishing a videoconferencing platform within the virtual reality (Virtual Reality) space. Although the VR videoconference platform has only improved upon the benefits of existing video conferences, the problem of manually summarizing minutes because there is no function to summarize minute documents still remains. Therefore, this study proposes a method for establishing a meeting minute summary system without applying cases to a VR videoconference platform. This study aims to solve the problem of communication difficulties by combining VR, a metaverse technology, with an existing online video conferencing platform.

• The Journal of the Korea Contents Association
• /
• v.19 no.10
• /
• pp.620-629
• /
• 2019

An automated minutes summary system is required to objectively summarize and classify the contents of discussions or discussions for decision making. This paper designs and implements a minutes summary system using word2vec model to complement the existing minutes summary system. The proposed system is further implemented with word2vec model to remove index words during morpheme analysis and to extract representative sentences with common opinions from documents. The proposed system automatically classifies documents collected during the meeting process and extracts representative sentences representing the agenda among various opinions. The conference host can quickly identify and manage all the agendas discussed at the meeting through the proposal system. The proposed system analyzes various agendas of large-scale debates or discussions and summarizes sentences that can be representative opinions to support fast and accurate decision making.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.11 no.5
• /
• pp.467-474
• /
• 2018

To organize and document the contents of meetings and discussions is very important in various tasks. However, in the past, people had to manually organize the contents themselves. In this paper, we describe the development of a system that generates the meeting minutes automatically using the TextRank algorithm. The proposed system records all the utterances of the speaker in real time and calculates the similarity based on the appearance frequency of the sentences. Then, to create the meeting minutes, it extracts important words or phrases through a non-supervised learning algorithm for finding the relation between the sentences in the document data. Especially, we improved the performance by introducing the keyword weighting technique for the TextRank algorithm which reconfigured the PageRank algorithm to fit words and sentences.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• fall
• /
• pp.299-300
• /
• 2021

비대면 시대로 인한 화상 회의의 중요성이 높아졌다. 하지만 현재까지도 회의기록의 문서화 작업은 수작업으로 이루어지고 있어 시간과 인적자원이 많이 소모되고 있다. 본 논문은 기존 수작업으로 진행되는 회의 문서화 과정의 문제점을 개선하고자 한국어 키워드 추출을 활용한 인공지능 회의록 자동 생성 시스템을 제안한다. 회의 음성 파일을 기반으로 STT 기술을 활용한 회의 전문을 자동 생성하고 전문에 KR-WordRank 알고리즘을 적용해 키워드를 추출, Summary API를 사용하여 요약본을 생성한다. 최종 결과로 회의 전문과 키워드, 요약본이 담긴 PDF 형식의 회의록을 사용자에게 제공하여, 수기 회의록 작성 시 들이는 시간적, 인적 비용 절감을 돕는다.