building National R&D Trend Knowledge Map using Topic Analysis

Eunji Yu () and Youngeun Kwon ()
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Eunji Yu: Korea Institute of Science and Technology Information
Youngeun Kwon: Korea Institute of Science and Technology Information

No 3606357, Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences

Abstract: Recently, big data collection, storage, analysis and visualization technologies have emerged in IT industry. As a result, there have been attempts to discover issues in diverse domains such as politics, society, economy and culture and utilize the results in making a decision. For example, a trend knowledge map and issue tracking designed to extract issues and glimpse at issue change patterns have drawn an attention. This study has proposed a method to construct a visualized national R&D trend knowledge map after analyzing user query data on national R&D information in the National Science & Technology Information Service (NTIS) which has collected and provided the national R&D information. It is expected that the proposed national R&D trend knowledge map would help national R&D researchers plan and implement national R&D projects and programs.

Keywords: Text Mining; Topic Analysis; Issue Tracking; Visualization; Social Network Analysis (search for similar items in EconPapers)
Pages: 6 pages
Date: 2016-05
New Economics Papers: this item is included in nep-knm
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Published in Proceedings of the Proceedings of the 23rd International Academic Conference, Venice, May 2016, pages 527-532

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Persistent link: https://EconPapers.repec.org/RePEc:sek:iacpro:3606357

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