ScholarX: PARK, EUNIL

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PARK, EUNIL (박은일)

Computing and Informatics (Convergence)

Research Area: 데이터과학,, 사용자경험/인간컴퓨터상호작용,, 산업인공지능, Data Science,, User eXperience and HCI,, Industrial AI

Tel 02-740-1864
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Machine learning:10||Deep learning:9||machine learning:7||Feature extraction:4||Coolness:4||mental health:4||bibliometric analysis:4||Reddit:4||Sentiment analysis:4||South Korea:3||sentiment analysis:3||Renewable energy:3||Natural language processing:3||user experience:3||Online review:3||LSTM:3||social media:3||Satisfaction:3||Attention mechanism:3||Political orientation:3||artificial intelligence:3||Social media:3||deep learning:3||User experience:3||Instagram:2||News outlet:2||Airline service:2||technology acceptance:2||Electronic wordofmouth:2||Social acceptance:2||Customer satisfaction:2||traffic prediction:2||Bias:2||Metaverse:2||Online conversation:2||clustering:2||Compatibility:2||Fandom:2||Recommendation:2||Sustainable mobility:2||Task analysis:2||Technology acceptance:2||Airline services:2||Kpop:2||Korea:2||Twitch:2||Twitter:2||Adoption:2||Review analysis:2||Multimodal:2||Collaboration:2||5G:2||Diffusion:2||COVID19:2||satisfaction:2||Visualization:2||Live streaming:2||Popularity prediction:2||service quality:2||Faces:2||Shortform content:2||Customer repurchase:2||DeepAUP:1||Delay prediction weather:1||Demographic information:1||Dental:1||Diagnosis:1||Diffusion of innovation theory:1||Dynamic pricing:1||Ecofriendly:1||Economic feasibility:1||Emoji:1||Emoji prediction:1||Emojis:1||Emotion recognition:1||Energy subsidies:1||Enjoyment:1||Environmental knowledge:1||Expectationconfirmation model:1||Expectationconfirmation theory:1||Explainable artificial intelligence:1||Face:1||Face recognition:1||Facial display:1||Fact checking:1||Factor analysis:1||Fake news:1||Fan Community:1||Fan Culture:1||Feedback:1||Fine dust:1||Flight delay:1||Flow:1||Fukushima:1||Games:1||Generative adversarial networks:1||Generators:1||Government funded R&D:1||Graph:1||Graph convolution network:1||Greenhouse gas emission:1||HRTF:1||Hashtag recommendation:1||Home care:1||Human authentication:1||Idol:1||Image color analysis:1||Image deblurring:1||Image synthesis:1||Implicit:1||Inflight:1||Ingame conflict:1||Inconvenient Interaction:1||Influencer marketing:1||Influential comment:1||Information and communication technology (ICT) applications:1||Information delivery:1||Innovation diffusion:1||Instagram marketing:1||Instant video:1||Intention:1||Interactive wearable devices:1||Interference:1||Internet:1||Internet of Things:1||Internet of things:1||IoT:1||KLIWC:1||Korean university student group:1||LIME:1||Leadership:1||League of Legends:1||License plate recognition:1||Link prediction:1||Lowcost carrier:1||MFCC:1||MFDRD:1||MHRS:1||Media bias:1||Media contents:1||Metadata:1||Metaverse game platforms:1||Mobile Alarm:1||Mobile application review:1||Mobile augmented reality:1||Mobile healthcare devices:1||Model ensemble:1||Modulation:1||Motion pictures:1||Movie recommendation:1||Multimodal model:1||MultiEmo:1||Multimodality:1||Multiplayer:1||Multiple selfquestionnaires:1||NLP:1||National brand:1||Network analysis:1||Neural network:1||Newly defined cutoff regions:1||Nonpolitical articles:1||Nuclear energy:1||Nuclear power plants:1||Online comments:1||Online communication:1||Online community:1||Online game:1||Online news outlets:1||Online reviews:1||Organizational support:1||Original article:1||Originality:1||Oscar winner score:1||Oscars:1||PHQ − 9:1||PM<sub>10</sub>:1||Paris Climate Agreement:1||Perceived benefits:1||Perceived value:1||Phase shift keying:1||Pipeline:1||Pipelines:1||Political stance:1||Presence:1||Price prediction:1||Private brand:1||Professionalities:1||Public opinion:1||Public perception:1||Public perceptions:1||Public perspectives:1||Query analysis:1||Questionnaire survey:1||R&D efficiency:1||R&D performance evaluation:1||Rating prediction:1||Recommendation system:1||Recommendation systems:1||Renewable resources:1||Repeat visit:1||Retail gasoline market:1||Retail industry:1||Return visit:1||Reuse:1||Review:1||Review comment:1||Review helpfulness:1||Revisit:1||SCOPUS:1||SEMS:1||Segmentation:1||Semantics:1||Sentiment Analysis:1||Sentimental analysis:1||Seoul city:1||Service provider:1||Service quality:1||Shorts platform:1||Signal to noise ratio:1||Smart TV:1||Smart home:1||Smart wearable devices:1||Smartphone:1||Social networking services:1||Social support:1||South Korea.:1||Spam detection:1||Sparse rating matrix:1||Spatiotemporal phenomena:1||Speech recognition:1||Super resolution:1||Sustainability:1||Taxonomy:1||Technology acceptance model:1||Threaded conversation:1||Tourism:1||Transaction services:1||Transfer learning:1||Tweet user stance model:1||Twofactor theory:1||UNet:1||User satisfaction:1||User tagging:1||VR:1||Vehicle damage:1||Videos:1||Virality:1||Virtual Influencer:1||Virtual reality:1||Vishing:1||Visual sentiment analysis:1||Voice phishing:1||WakeUp Task:1||Web of Science:1||Webtoon:1||Wireless communication:1||YouTube:1||YouTube commercial:1||abnormal:1||affection:1||air quality prediction:1||anomaly detection:1||artwork recommendation:1||attitude:1||behavioral risk factors:1||bibliometrics:1||centrality:1||clickbait:1||clinical trials:1||collaboration:1||computational approach:1||computer vision:1||contentbased recommendation:1||continual usage intention:1||convolutional neural network (CNN):1||cooperation:1||corporate social responsibility:1||credit rating:1||crossnation:1||customer revisit:1||data collection:1||demographic information:1||emoji generation:1||emotion modeling:1||emotional inference:1||employment:1||endtoend TTS:1||face:1||face to speech:1||face voice conversion:1||facebased TTS:1||fully convolutional network:1||generative adversarial networks:1||graph network:1||green electricity:1||hotel:1||housing rental market:1||information quality:1||initial public offering:1||innovation diffusion theory:1||interaction:1||longterm memory:1||loyalty:1||machine translation:1||mental disorder:1||meta learning:1||meteorological data:1||mobile food delivery services:1||mobile hotel reservation services:1||mobile network:1||movie recommendation system:1||multi label data set:1||multimodalities:1||multilingual:1||multimodal:1||multimodal deep learning:1||multimodal learning:1||multimodal representation:1||music industry:1||natural language generation:1||natural language processing:1||network analysis:1||neural network:1||noncommunicable diseases:1||nuclear energy:1||object detection:1||online communities:1||online learning:1||online review:1||path analysis:1||peer support:1||perceived cost:1||perceived ease of use:1||perceived usefulness:1||perceived value:1||photo restoration framework:1||popularity prediction:1||prediction:1||preferencebased recom mendation:1||private networks:1||private5G:1||radio modulation:1||rating:1||real estate:1||realtime systems:1||renewable energy:1||repair task:1||research trend:1||resistance behaviour:1||revisit:1||road traffic:1||salient objects:1||semantic information:1||semantic segmentation:1||semiconductor manufacturing:1||sharing service:1||signal data:1||small and mediumsized enterprise:1||social acceptance:1||social media big data:1||socialenvironmental factors:1||sound localization training:1||speech recognition:1||sticker response selection:1||sustainable transportation:1||technology acceptance model:1||text analysis:1||text summarization:1||theory of planned behavior:1||time series:1||traffic management and control:1||transfer learning:1||transport planning:1||trust:1||usability:1||usefulness:1||user identification:1||4G:1||voice:1||5G/6G networks:1||Actor:1||Additional Key Words and Phrases:1||Age ratings:1||Agro:1||Airbnb:1||Alarmy:1||AnoGAN:1||Apartment defect:1||App Usage Behavior:1||Applied artificial intelligence:1||Artificial intelligence:1||Attractiveness:1||Authentication:1||Automated content:1||Behavior:1||Betweenness centrality:1||BiLSTM:1||Bibliometric:1||Big Data:1||Big data:1||Billboard:1||Biological system modeling:1||Bipartite graph:1||Bitcoin:1||Bitcoin transaction services:1||Blockchain:1||Book cover:1||Book descriptions:1||Book rating prediction:1||Botulinum toxin:1||Brand loyalty:1||Building information modelling:1||CES − D:1||CRNet:1||Classification:1||Closeness centrality:1||Cooccurrence network:1||Comment:1||Comment tagging:1||Communication:1||Communication behaviour:1||Companies:1||Competition:1||Computational social systems:1||Computer vision:1||Computers Are Social Actors:1||Content generator:1||Content restriction:1||Contentbased filtering:1||Continual intention:1||Convolutional neural network:1||Corporate reputation:1||Corporate social responsibility:1||Correlation:1||Crack detection:1||Crosscultural:1||Customer attitude:1||Customer revisit:1||Damage classification:1||Data analytics:1||

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

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