Search Results - "Jeong, Byeongki"

Social media mining for product planning: A product opportunity mining approach based on topic modeling and sentiment analysis by Jeong, Byeongki, Yoon, Janghyeok, Lee, Jae-Min

“…•We propose a social media mining approach for product opportunity exploration.•The approach is built on topic modeling and sentiment analysis of social media…”
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Context-aware customer needs Identification by linguistic pattern mining based on online product reviews by Lee, Jiho, Jeong, Byeongki, Yoon, Janghyeok, Song, Chie Hoon

“…In the age of digital economy, customers actively share their experiences and issues about products via online product reviews. Mining potential product…”
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Identifying Product Opportunities Using Social Media Mining: Application of Topic Modeling and Chance Discovery Theory by Ko, Namuk, Jeong, Byeongki, Choi, Sungchul, Yoon, Janghyeok

“…As an emerging voice of the customer (VOC) containing feedback, such as opinions and expectations about products, social media data have the potential use for…”
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Tracing the Evolving Trends in Electronic Skin (e-Skin) Technology Using Growth Curve and Technology Position-Based Patent Bibliometrics by Yoon, Janghyeok, Jeong, Byeongki, Lee, Wi Hyoung, Kim, Jonghwa

“…Electronic skin (e-skin) technology has grown considerably over the past decade, attracting much attention as an emerging technology in the revolutionizing of…”
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Technology opportunity discovery under the dynamic change of focus technology fields: Application of sequential pattern mining to patent classifications by Choi, Jaewoong, Jeong, Byeongki, Yoon, Janghyeok

“…Technology opportunity discovery (TOD), have evolved over time from technology forecasting to an approach based on existing technology capabilities for…”
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Identification of emerging business areas for business opportunity analysis: An approach based on language model and local outlier factor by Choi, Jaewoong, Jeong, Byeongki, Yoon, Janghyeok

“…Emerging business areas are early indicators of potential business opportunities, which are considered key to formulating new business strategies and…”
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Trademark-based framework to uncover business diversification opportunities: Application of deep link prediction and competitive intelligence analysis by Jeong, Byeongki, Ko, Namuk, Son, Changho, Yoon, Janghyeok

“…•A trademark-based framework for diversifiable business discovery is proposed.•Deep link prediction is applied to goods and services contained in…”
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Patent-trademark linking framework for business competition analysis by Ko, Namuk, Jeong, Byeongki, Yoon, Janghyeok, Son, Changho

“…•A patent-trademark linking framework for technology-based business analysis is proposed.•Patents and their target goods and services of applicants are…”
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A transferability evaluation model for intellectual property by Ko, Namuk, Jeong, Byeongki, Seo, Wonchul, Yoon, Janghyeok

“…•An evaluation model predicting intellectual property’s transferability is suggested.•The deep learning model is learned from 36 internal/environmental patent…”
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An information entropy and latent Dirichlet allocation approach to noise patent filtering by Yoon, Janghyeok, Jeong, Byeongki, Kim, Mujin, Lee, Changyong

“…•Proposing a semi-automated approach to noise patent filtering.•Recommending noise patent seeds via information entropy.•Measuring text similarities among…”
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A novel approach to evaluating the business potential of intellectual properties: A machine learning-based predictive analysis of patent lifetime by Choi, Jaewoong, Jeong, Byeongki, Yoon, Janghyeok, Coh, Byoung-Youl, Lee, Jae-Min

“…•An approach evaluating patents’ business potential in terms of lifetime is suggested.•The approach is based on the FFNN model learned from 200,000…”
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Mapping the Patent Landscape in the Field of Personalized Medicine by Song, Chie Hoon, Han, Jeung-Whan, Jeong, Byeongki, Yoon, Janghyeok

“…Purpose This study aims to describe innovation profile in the field of personalized medicine. While the major market players have recognized the importance of…”
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Time-aware topic identification in social media with pre-trained language models: A case study of electric vehicles by Jeong, Byeongki, Yoon, Janghyeok, Choi, Jaewoong

“…Recent extensively competitive business environment makes companies to keep their eyes on social media, as there is a growing recognition over customer…”
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