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ÇѱÛÁ¦¸ñ(Korean Title) |
½Å¹® ÅؽºÆ®·Î »ìÆ캻 ¹®È ¼Òºñ Çö»óÀÇ Æ®·»µå |
¿µ¹®Á¦¸ñ(English Title) |
A Trend Analysis of Cultural Consumption Based on Newspaper Texts |
ÀúÀÚ(Author) |
±èÇý¿µ
±èÈï±Ô
°¹ü¸ð
Hyeyoung Kim
Heunggyu Kim
Beom-mo Kang
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¿ø¹®¼ö·Ïó(Citation) |
VOL 39 NO. 03 PP. 0244 ~ 0251 (2012. 03) |
Çѱ۳»¿ë (Korean Abstract) |
º» ³í¹®Àº ¹°°á 21 ÄÚÆÛ½º, Áï µ¿¾Æ, Á¶¼±, Áß¾Ó, ÇÑ°Ü·¹ ½Å¹®ÀÇ 2000-2009³â±îÁöÀÇ ¾à 4¾ï¾î ÀýÀÇ ½Å¹® ÀÚ·á¿¡¼ ³ªÅ¸³ª´Â ¹®È ¼Òºñ Çö»óÀÇ Æ®·»µå¿¡ ´ëÇÑ ºÐ¼®ÀÌ´Ù. ±¸Ã¼ÀûÀ¸·Î, ¸í»ç ¡®Æ®·»µå¡¯¿ÍÀÇ °ø±â¾î(°ø±â ¸í»ç) Áß¿¡¼ 10³â µ¿¾È ²ÙÁØÈ÷ Áõ°¡ÇÏ´Â ´Ü¾îµé(ÀÏ¹Ý ¸í»ç, °íÀ¯ ¸í»ç)À» »ìÆ캸°í À̰͵éÀÇ ¼Ó¼º¿¡ µû¶ó¼ ¸í»ç¸¦ ºÐ·ùÇÏ¿© °ø±â¾îÀÇ Áõ°¨µµ¸¦ »ìÆ캻´Ù. t-Á¡¼ö(t-score)¸¦ ÀÌ¿ëÇÏ¿© °ø±â¾î¸¦ ÃßÃâÇÏ°í ¸¸-ÄË´Þ ºÐ¼®À» ÅëÇÏ¿© Áõ°¨µµ¸¦ ºÐ¼®ÇÏ¿© ¸Å³â °ø±âÇÏ¿© ³ªÅ¸´Â Á¤µµ°¡ Áõ°¡ÇÏ´Â ´Ü¾î¸¦ ´ë»óÀ¸·Î ¿¬±¸ÇÑ´Ù. ¶ÇÇÑ ÀÌ·¯ÇÑ ¸í»çµéÀÌ ÁÖÁ¦¾î¿Í º¯¼ö »çÀÌ¿¡ »ó°ü°ü°è°¡ ÀÖ´ÂÁö ºÐ¼®ÇÏ¿© 10³â µ¿¾È Æ®·»µå¿¡ ´ëÇؼ ÁÖÁ¦º°·Î ºÐ¼®ÇÑ´Ù. °á°úÀûÀ¸·Î, ½Å¹®¿¡ ³ªÅ¸³ª´Â ´Ü¾î¸¦ ÅëÇØ »çȸÀû, ¹®ÈÀû Æ®·»µå¸¦ °üÂûÇÒ ¼ö ÀÖ´Ù.
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¿µ¹®³»¿ë (English Abstract) |
This paper aims to examine the co-occurring words of the word ¡®teurendeu¡¯(trends) in Korean newspaper texts to analyze the Korean consumption culture. The data are the morphological component of the Trends 21 Corpus, which include the texts of major Korean daily newspapers of Dong-a, Chosun, Joongang, and Hankyoreh. Currently, the corpus contains articles published in 2000-2009 and the size is around 4 hundred million words. We extract co-occurring words (nouns) of the word ¡®teurendeu¡¯(trends) by t-score analysis, and then extract from those co-occurring words some words with rapidly increasing relatedness by Mann-Kendall analysis. We also examine correlation between keywords and co-occurring words to find trends in some subareas of culture. Thus, this study demonstrates that we can observe and examine social and cultural trends through the occurrences of nouns in newspapers.
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Å°¿öµå(Keyword) |
Æ®·»µå
[¹°°á 21] ÄÚÆÛ½º
½Å¹®
t-Á¡¼ö
°ø±â¾î
¸¸-ÄË´Þ ºÐ¼®
Áõ°¨µµ ºÐ¼®
»ó°ü°ü°è ºÐ¼®
trends
The Trends 21 Corpus
newspaper
t-score
co-occurrence
Mann-Kendall analysis
trend analysis
correlation
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