Daejeon, South Korea

Yoon Jae Jeong


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2014

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1 patent (USPTO):Explore Patents

Title: Yoon Jae Jeong: Innovator in Experience Extraction Technology

Introduction

Yoon Jae Jeong is a prominent inventor based in Daejeon, South Korea. He has made significant contributions to the field of natural language processing, particularly in the extraction of experience-revealing sentences from blog documents. His innovative approach utilizes machine learning algorithms to enhance the understanding of user experiences in written content.

Latest Patents

Yoon Jae Jeong holds a patent for a method of extracting experience sentences and classifying verbs in blog documents. This patent, which is a crucial advancement in the field, provides a systematic way to identify and classify sentences that reveal actual user experiences. The method involves generating a sentence classifier based on grammatical features and utilizing it to differentiate between experience sentences and non-experience sentences. This innovation allows for a more nuanced extraction of user experiences from blog content, thereby improving the relevance and quality of information derived from such documents. He has 1 patent to his name.

Career Highlights

Yoon Jae Jeong is affiliated with the Korea Advanced Institute of Science and Technology, where he continues to push the boundaries of research in his field. His work has garnered attention for its practical applications in understanding user-generated content and enhancing user experience in digital platforms.

Collaborations

Yoon has collaborated with notable colleagues, including Sung Hyon Myaeng and Keun Chan Park. Their combined expertise has contributed to the advancement of research in natural language processing and machine learning.

Conclusion

Yoon Jae Jeong's innovative work in extracting experience sentences from blog documents represents a significant step forward in natural language processing. His contributions not only enhance the understanding of user experiences but also pave the way for future advancements in the field.

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