| ³í¹®¸í |
±¹³» °ÇÃࡤµµ½Ã °èȹºÐ¾ß ÅØ½ºÆ® ¸¶ÀÌ´× ¿¬±¸ µ¿Ç⠺м® / An Analysis of Domestic Text Mining Research Trend in Architectural and Urban Planning / Ãá°è-01. ÀϹݺι® |
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´ëÇѰÇÃàÇÐȸ Çмú¹ßÇ¥´ëȸ ³í¹®Áý, Vol.39 No.1 (2019-04) |
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½ÃÀÛÆäÀÌÁö(110) ÃÑÆäÀÌÁö(4) |
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ÅØ½ºÆ® ¸¶ÀÌ´× ; À¥Å©·Ñ¸µ ; ÀÚ¿¬¾î ó¸® ; ÅØ½ºÆ® ºÐ¼® ; Text-mining ; Web Crawling ; Natural Language Processing(NLP) ; Text Analysis |
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The purpose of this study was to study text mining research trend through analyzing and categorizing domestic text mining researches after 2010. 37 selected text mining researches were categorized by data sources, analyzing methods and tools, and research purpose and applications. Domestic text mining researches increased drastically in 2017, in consequence of increased interest in big data and high accessibility to text mining tools. Current ranges of data sources, analyzing methods, and research applications of domestic text mining researches appeared to be limited. Therefore, it is necessary to diversify data sources, analyzing methods, and research applications. |