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ÀúÀÚ Å°¿öµåÀÇ ³×Æ®¿öÅ© ºÐ¼®À» À§ÇÑ Å°¿öµå Á¤Á¦½Ã½ºÅÛ °³¹ß / Development of a Keyword Filtration System for Network Analysis of Author Keywords -Based on the Dictionary of Construction Terms and Frequently Used Keywords- / - °Ç¼³¿ë¾î»çÀü°ú ºóµµ ³ôÀº Å°¿öµå È°¿ëÀ» Áß½ÉÀ¸·Î - / Ãß°è-06. ±¸Á¶Çؼ® |
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´ëÇÑ°ÇÃàÇÐȸ Çмú¹ßÇ¥´ëȸ ³í¹®Áý, Vol.36 No.2 (2016-10) |
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»çȸ¿¬°á¸ÁºÐ¼® ; Å°¿öµå ³×Æ®¿öÅ© ; Á¤Á¦½Ã½ºÅÛ ; ¿ë¾î»çÀü ; SNA(Social network Analysis) ; Keyword Network ; Filtering system ; terminology dictionary |
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This research was based on the conception that the accuracy of keyword network analysis result differs according to the expression method of an identical word. Considering this limitation, a keyword filtration system was developed. In order to increase accuracy, words with different expressions were distinguished and terms in dictionary were firstly applied. A new filtration system was presented for words which are not listed in the dictionary by using frequently used terms. This system was verified by comparing results of centrality and connectivity analysis. By applying this keyword filtration system that uses a terminology dictionary, an objective data, reliable results can be drawn from social network analysis for trend analysis, key factor deduction, future estimation, and etc. Also, it is expected to contribute to industry development when being used for research, industry, or policy related activities. |