News Article Based Industry Risk Index Prediction for Industry-Specific Evaluation

Authors

DOI:

https://doi.org/10.13052/jwe1540-9589.20311

Keywords:

Industry evaluation, industry-specific risk prediction, unstructured data, multiple classification, time-series data analysis

Abstract

The existing industry evaluation method utilizes the method of collecting the structured information such as the financial information of the companies included in the relevant industry and deriving the industrial evaluation index through the statistical analysis model. This method takes a long time to calculate the structured data and cause the time delay problem. In this paper, to solve this time delay problem, we derive monthly industry-specific interest and likability as a time series data type, which is a new industry evaluation indicator based on unstructured data. In addition, we propose a method to predict the industrial risk index, which is used as an important factor in industrial evaluation, based on derived industry-specific interest and likability time series data.

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Author Biographies

Kyungwon Kim, Korea Electronics Technology Institute, Mapo-gu, Seoul, 03924, Republic of Korea

Kyungwon Kim received the B.S. and M.S. degrees in computer science and engineering from Hankuk University of Foreign Studies, Seoul, Korea, in 2001 and 2003, respectively, and the Ph.D. degree in computer, information and communications engineering from Konkuk University, Seoul, Korea, in 2018. He has been a Managerial Researcher with Korea Electronics Technology Institute, Seoul, Korea, since 2004. His current research interests include the unstructured data analysis and data inference modeling.

Kyoungro Yoon, Konkuk University, Gwangjin-gu, Seoul, 05029, Republic of Korea

Kyoungro Yoon received the B.S. degree in computer and electronic engineering from Yonsei University, Seoul, Korea, in 1987, the M.S.E. degree in electrical engineering/systems from the University of Michigan, Ann Arbor, MI, USA, in 1989, and the Ph.D. degree in computer and information science from Syracuse University, Syracuse, NY, USA, in 1999. He was a principal researcher and a group leader at the Mobile Multimedia Research Lab, LG Electronics Institute of Technology from 1999 to 2003. He joined the school of Computer Science and Engineering in 2003 as an Assistant Professor and became a full Professor in 2012. He has been with the Department of Smart ICT Convergence, since 2017. He served as a Co-chair of Ad Hoc Group on User Preferences and the Chair of Ad Hoc Group on MPEG Query Format and Ad Hoc Group on MPEG-V of ISO/IEC JTC1 SC29 WG11 (a.k.a. MPEG). He also served as the Chair of the Metadata Subgroup and JPSearch Ad Hoc Group of ISO/IEC JTC1 SC29 WG1 (a.k.a. JPEG). He is serving as an Editor of various international standards such as ISO IS 15938-12, 23005-2, 23005-5, 23005-6, 24800-3, 24800-5, and 24800-6. His main research interests include smart media system, image processing, and multimedia information and metadata processing.

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Published

2021-06-09

Issue

Section

Communication, Multimedia and Learning Technology through Future Web Engineering