ScholarX: KIM, JANG HYUN

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KIM, JANG HYUN (김장현)

Computing and Informatics (Convergence)

Research Area: 데이터사이언스, 인공지능응용, 소셜/시멘틱 네트워크, 스마트미디어, Data Science, AI Applications, Social/Semantic Network Analysis, Smart Media

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natural language processing:8||Semantic network analysis:5||topic modeling:5||sentiment analysis:5||Bitcoin:4||Instagram:4||Deep learning:4||ESG:4||machine learning:4||Natural language processing (NLP):4||semantic network analysis:4||BERT:4||CiteSpace:4||user satisfaction:3||social media:3||cocitation analysis:3||BERTopic:3||Machine learning:3||ChatGPT:3||innovation:3||Metafrontier analysis:3||Artificial intelligence:3||Metaverse:3||big data:3||Twitter:3||Cocitation analysis:3||cryptocurrency:3||COVID19:3||ubiquitous computing:2||unsupervised learning:2||Technical efficiency:2||climate change:2||TikTok:2||coauthorship analysis:2||Knowledge gain:2||metaverse:2||Time series prediction:2||Attractiveness:2||Selfdisclosure:2||Transformers:2||continuance intention:2||network analysis:2||MMORPG:2||data mining:2||UCINET:2||online review:2||Big Data Analysis:2||User Satisfaction:2||VOSviewer:2||Social media:2||Visualization:2||Crisis and Emergency Risk Communication:2||Cryptocurrency:2||Pixel:2||Learning interest:2||structural topic model:2||NLP:2||Emotional attachment:2||bibliometric analysis:2||AI instructor:2||Reputation management:2||TFIDF:2||Foodpolis:1||Generalized Dirichletmultinomial regression:1||Generative AI:1||Global OTT platform:1||Greta Thunberg:1||Group member familiarity:1||HCI:1||Halo effect:1||Hedonic:1||Hofstede&apos:1||Hyperlink network analysis:1||ICT industry:1||Industry evolution:1||Influencer marketing:1||Information and communication technology:1||Innovation:1||Innovation research:1||Intention to recommend:1||International newspaper:1||Internet of Things (IoT):1||Journalism:1||KOSDAQ:1||KOSPI:1||KoBERT:1||LDA:1||LLM:1||Language Learning:1||Learning experience:1||Logistic Regression:1||Lotte:1||MMORPGs:1||Machine Learning:1||Majority opinion:1||Metaanalysis:1||Microsoft Azure:1||Microsoft Azure cognitive services:1||Microsoft azure cognitive service:1||Mobile Healthcare Service:1||Mobile payment:1||Mooc research:1||Movie:1||NETDRAW:1||NLU:1||Natural Language Processing:1||Natural Language Processing (NLP):1||Natural language processing:1||Naver:1||News analysis:1||News discourse analysis:1||NodeXL:1||O2O platform:1||Omnichannel service:1||Online Review:1||Online review:1||Online social network:1||Online store:1||OnlinetoOffline:1||Open innovation:1||Originality:1||Performance expectations:1||Pharmaceutical Index:1||Photo:1||Platform business:1||Popularity metrics:1||Pretrained language model:1||Proteus effect:1||Public health agency:1||RCEP:1||Reddit:1||Retail industry:1||Risky:1||SNA:1||Satisfaction–loyalty theory:1||Semantic Network:1||Semantic network:1||Sentiment analysis:1||Sentiment classification:1||Sina Weibo:1||Smart city:1||Sociability:1||Social TV:1||Social affordance:1||Social network:1||Social networking (online):1||Social networking sites (SNS):1||Social viewing:1||Sociousability:1||South Korea:1||Spillover:1||Startups:1||Stochastic frontier analysis:1||Stylometry:1||Subcultural appeal:1||Subculture:1||Survey Research:1||Synthetic Data:1||Taiwan:1||Text mining:1||Time Series:1||Topic Modeling:1||Topic modeling:1||Triple Helix:1||Turning points analysis:1||Uber:1||Uniqueness:1||Unsupervised learning:1||User experience:1||User satisfaction:1||Utilitarian:1||VADER:1||Video game:1||Video game console:1||WeChat:1||Webometrics:1||Word2vec:1||World of warcraft:1||XGBoost:1||Yee&apos:1||actorbased innovation system:1||attentional shift:1||avatar coolness:1||avatar identification:1||bandwagon heuristics:1||bibliometric approach:1||bibliometrics:1||big data analysis:1||case study:1||chatbased AI:1||citespace:1||cluster analysis:1||clustering analysis:1||coauthorship network:1||collaboration network:1||communication strategy:1||computational social science:1||consumer research:1||coolness theory:1||crisis and emergency risk communication:1||crisis communication:1||deep learning:1||dentistry:1||differences:1||diffusion:1||diffusion of innovations:1||distributed computersupported collaborative learning:1||economic analysis:1||efficiency:1||emotional learning:1||engagement:1||enjoyment:1||environmental movements:1||environmental social and governance (ESG):1||face recognition payment:1||financial technology adoption:1||flow state:1||game:1||game industry:1||hashtags:1||healthcare:1||hindrances:1||histogram:1||hype cycle:1||innovation factor:1||innovation system:1||international migration:1||keywordsoccurrence analysis:1||learning outcomes:1||life satisfaction:1||literature citation burst analysis:1||literaturecocitationbased cluster analysis:1||loneliness:1||lowlevel features:1||maskwearing:1||media analysis:1||media multitasking:1||mental health:1||metafrontier analysis:1||metaverse game:1||mobile game:1||mostliked comments:1||motivations:1||narcissism:1||negative binomial regression:1||network analysis structural equation model:1||news comments:1||online commenting behavior:1||online game:1||online learning:1||perceived risk:1||pretrained language model:1||price trends prediction:1||public health agency:1||public health emergency:1||quarantine:1||reach:1||recognition memory:1||regression analysis:1||relative advantage:1||risk management:1||s dimensions:1||s motivations:1||second screen:1||secondary tasks:1||security:1||social mobile payment:1||social networking service photo:1||social presence:1||startup innovation:1||structural factors:1||sustainability:1||sustainable development:1||teammate familiarity:1||teamwork satisfaction:1||technology acceptance:1||text mining:1||topic modelling:1||triple helix:1||trust:1||ubiquity:1||user experience:1||users:1||world systems theory.:1||빅데이터:1||영화:1||온라인 리뷰:1||AI dependency:1||의미연결망 분석:1||AI ethics:1||AI literacy:1||ASIALICS:1||Academic selfefficacy:1||Academic stress:1||Agendasetting theory:1||Analytical models:1||Animal Crossing:1||Artificial neural networkstructural equation model:1||Automatic classification:1||Bandwagon effect:1||Bibliometric analysis:1||Big Data:1||Big Five personality model:1||Big data:1||Blogs:1||BoW:1||British Museum:1||CAD/CAM:1||CICALICS:1||Centers for Disease Control and Prevention:1||Chatbots:1||China:1||Citespace:1||Civil complaints:1||Clustering analysis:1||Coauthorship analysis:1||Color psychology:1||Comment:1||Communication strategy:1||Computer vision:1||Computersupported collaborative learning:1||Computers are social actors:1||Consumer experience:1||Content production and distribution:1||Continuance intention to use:1||Coolness:1||Coolness theory:1||Crisis and risk communication:1||Cultural Difference:1||Cultural difference:1||DMR:1||Daily new cases:1||Danmu videos:1||Data mining:1||Data models:1||Deep Learning:1||Dialogic communication:1||Dynamic topic model:1||ESports:1||ERNIE:1||Earnings Call Transcript:1||EdTech:1||Efficiency:1||Ensemble:1||Enterprise:1||Expectation confirmation model:1||Facetoface collaborative learning:1||Facebook:1||Facial Recognition Payment:1||Food cluster:1||

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(03063) 25-2, SUNGKYUNKWAN-RO, JONGNO-GU, SEOUL, KOREA samsunglib@skku.edu

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