클라이언트

부산관광공사

  • 글로벌 한류팬 대상 공연 이슈 및 부산 인지도 빅데이터 분석
한국청소년정책연구원
  • 포스트 코로나 시대의 청소년 정책 대응방안 연구 – 비정형데이터를 통한 정책 의제 도출
한국연구재단
  • 사회과학연구지원사업(SSK) 대형연구과제
동아대학교 산학협력단
  • 연구재단 한국사회과학연구(SSK) 지원사업

한국해양수산개발원

  • 염습지 복원 특허 기술 조사 분석

논문

Ranking Roughly Tourist Destinations Using BERT-Based Semantic Search

2022
Sentiment Analysis and Deep Learning

Understanding Images of Tourist Destinations Based on the Extract of Central Sentences from Reviews Using BERT and LexRank

2022
Sentiment Analysis and Deep Learning

Building up a Categorical Sentiment Dictionary for Tourism Destination Policy Evaluation

2023
Data Intelligence and Cognitive Informatics

부산 지역주민의 폐로수용성과 참여의사결정요인

2019
서울대학교

스마트거버넌스: 디지털 발자국, 시민참여의 혁신

2020
유원북스

스마트거버넌스 기반의 스마트시티 교통분야 요구사항 분석

2021
한국경영정보학회

Analysis of Satisfaction Factors by language groups on tourist destinations using Text Mining

2022
Proceedings of The 2nd International Conference on Tourism Management and Hospitality

Keyword Extraction Technique for Attractions using Online Reviews – Topic Modeling and Markov Chain

2021
Proceedings of the Korea Information Processing Society Conference

Extracting Representative Sentences about Tourist Sites Using a Clustering Method

2021
Proceedings of the Korea Information Processing Society Conference

Influence of area-level characteristics on the suicide rate in Korean adolescents

2019
Psychiatry Investigation

Text raining analysis of teachers’ reports on student sucide in South Korea

2019
Europsan Child & Adolescent Psychiatry

Gender differences in Korean adolescents who died by suicide based on teacher reports

2019
Child and Adolescent Psychiatry and Mental Health

Youth Suicide in Korea Across the Educational Stages: A Postmorter Comparison of Psychosocial Characteristics of Elementary, Middle, and High School Students

2019
Crisis

Automatic Classification of Citizen Requests for Transportation Using Deep Learning: Case Study from Boston City

2021
Information Processing and Management

Text mining for the evaluation of public services: the case of a public bike-sharing system

2020
Service Business

레이블이 없는 문서 자동분류를 위한 분류체계 생성에 관한 연구

2020
한국디지털콘텐츠학회논문지

  • 임지원, 홍순구, & 김종원 (2022). 비정형 데이터를 통한 정책 의제 도출: 여성가족부 민원을 대상으로. 한국경영정보학회 학술발표대회집.
  • Lee, KW., & Hong, HJ. (2019). Uncovering Korean adolescents’ suicide with text mining and machine learning. 7th Asian Congress of Health Psychology.
  • Lee, KW., & Shin, MH. (2019). Nonlinear autoregressive exogenous analysis on the relation between Korean adolescents’ suicides and suicide-related Google keyword search volume: A preliminary study. International Integrated Conference & Concert on Convergence 2019.