Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)
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ÇѱÛÁ¦¸ñ(Korean Title) |
Àǹ̿¬°á¸Á ºÐ¼®À» È°¿ëÇÑ ¿µÈ ¸®ºä ½Ã°¢È |
¿µ¹®Á¦¸ñ(English Title) |
A Visualization of Movie Reviews based on a Semantic Network Analysis |
ÀúÀÚ(Author) |
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Seulgi Kim
Jang Hyun Kim
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Seulgi Kim
Jang Hyun Kim
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¿ø¹®¼ö·Ïó(Citation) |
VOL 23 NO. 01 PP. 0001 ~ 0006 (2019. 01) |
Çѱ۳»¿ë (Korean Abstract) |
º» ¿¬±¸´Â <³×À̹ö ¿µÈ> ÆäÀÌÁöÀÇ ¸®ºä µ¥ÀÌÅ͸¦ ¼öÁýÇÏ¿©, ÃâÇö ºóµµ°¡ ³ôÀº ´Ü¾î¸¦ Áß½ÉÀ¸·Î ¿µÈ °ü¶÷°´ÀÇ ¹ÝÀÀÀ» ½Ã°¢ÈÇÏ´Â ÀÛ¾÷À» ¼öÇàÇÏ¿´´Ù. À̸¦ À§ÇØ ÃÑ 6ÆíÀÇ ¿µÈ¸¦ ¼±Á¤ÇÏ¿© µ¥ÀÌÅÍ ¼öÁý ¹× Á¤Á¦°úÁ¤À» °ÅÃÆÀ¸¸ç, Àǹ̿¬°á¸Á ºÐ¼®(Semantic network analysis)À» È°¿ëÇÏ¿© ´Ü¾î °£ °ü°è¼ºÀ» ÆľÇÇÏ°íÀÚ ÇÏ¿´´Ù. µ¥ÀÌÅÍ ½Ã°¢È ÀÛ¾÷¿¡´Â UCINET°ú ÇÔ²² ÆÐÅ°ÁöÈµÈ NetDraw°¡ »ç¿ëµÇ¾ú´Ù. º» ¿¬±¸ÀÇ ½Ã»çÁ¡Àº ¹®ÀåÀ¸·Î ÀÛ¼ºµÈ ¿µÈ °ü¶÷°´ÀÇ ¸®ºä¸¦ Å°¿öµå Áß½ÉÀ¸·Î ½Ã°¢ÈÇÏ¿©, ¼ÒºñÀÚµéÀÇ ¹ÝÀÀÀ» ÇÑ ´«¿¡ È®ÀÎÇÏ´Â ¸®ºä ÀÎÅÍÆäÀ̽º ±¸ÇöÀÌ °¡´ÉÇÑÁö Ž»öÇÏ¿´´Ù´Â Á¡ÀÌ´Ù. º» ¿¬±¸¸¦ ÅëÇØ ¿µÈ ¸®ºä¸¦ ±¸¼ºÇÏ´Â Å°¿öµå¸¦ ½Ã°¢ÈÇÏ°í, ¸®ºä ³»¿ë¿¡¼ ¿µÈº° Ư¼ºÀÇ Â÷À̸¦ È®ÀÎÇÏ¿´´Ù´Â Á¡¿¡¼ º» ¿¬±¸°¡ Àǹ̸¦ °¡Áø´Ù°í ÇÏ°Ú´Ù. ÈÄ¼Ó ¿¬±¸´Â º¸´Ù ¸¹Àº ¿µÈÀÇ ¸®ºä¸¦ È°¿ëÇÒ Çʿ伺ÀÌ Á¦±âµÇ¸ç, °¢ ¿µÈº° ¸®ºäÀÇ ¼öµµ ºñ½ÁÇÑ ¾çÀ¸·Î ¸ÂÃß¾î ¿¬±¸¿¡ È°¿ëÇØ¾ß ÇÒ °ÍÀÌ´Ù.
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¿µ¹®³»¿ë (English Abstract) |
This study visualized users reaction about movies based on keywords with high frequency. For this work, we collected data of movie reviews on . A total of six movies were selected, and we conducted the work of data gathering and preprocessing. Semantic network analysis was used to understand the relationship among keywords. Also, NetDraw, packaged with UCINET, was used for data visualization. In this study, we identified the differences in characteristics of review contents regarding each movie. The implication of this study is that we visualized movie reviews made by sentence as keywords and explored whether it is possible to construct the interface to check users' reaction at a glance. We suggest that further studies use more diverse movie reviews, and the number of reviews for each movie is used in similar quantities for research.
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Å°¿öµå(Keyword) |
ºòµ¥ÀÌÅÍ
Àǹ̿¬°á¸Á ºÐ¼®
¿µÈ
¿Â¶óÀÎ ¸®ºä
Big data
Semantic network analysis
Movie
Online review
ºòµ¥ÀÌÅÍ
Àǹ̿¬°á¸Á ºÐ¼®
¿µÈ
¿Â¶óÀÎ ¸®ºä
Big data
Semantic network analysis
Movie
Online review
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