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Study of the Image of Nurse through Analysing Linking Words of Nurse in the Internet and Social Media

ÀÓ»ó°£È£¿¬±¸ 2016³â 22±Ç 2È£ p.173 ~ 182
KMID : 1004620160220020173
ÀÌÇö¼÷ ( Lee Hyun-Sook ) - °æµ¿´ëÇб³ °£È£Çаú

ÀÌÈ£¼± ( Lee Ho-Seon ) - ¼­¿ï´ëÇб³º´¿ø
¿°¿µÈñ ( Yom Young-Hee ) - Áß¾Ó´ëÇб³ Àû½ÊÀÚ°£È£´ëÇÐ
ÀÌÁ¤¹Î ( Lee Jung-Min ) - Áß¾Ó´ëÇб³º´¿ø
Á¤¿ø¼± ( Jung Won-Sun ) - °æºÏÀü¹®´ëÇб³ °£È£Çаú
¹ÚÇöÁ¤ ( Park Hyun-Jung ) - Áß¾Ó´ëÇб³ °£È£´ëÇпø

Abstract

Purpose: This study investigated the linking words of nurse which were presented together with nurse on phrase, clauses or sentence of documents or conversations in the Internet portals and social media.

Methods: The linking words with nurse were calculated by the number of presentation on conversations or documents,
in Google, Daum, Naver, Twitter and Facebook. The changes of characteristics and the trend of yearly changes of major linking words of nurse were investigated by the type of media. In order to identify the meaning of the words, clustering of the collected linking words by categories was analysed and the characteristics of each cluster were classified.

Results: A total number of reviewed linking words was 17,399,711 and the most frequently presenting words were hospital, work and person. The words related to people were the most highly presented and the next were those of emotion, professional and place respectively.

Conclusion: With analysing the trends of changes and characteristics of words by yearly base and clusters, we attempted to investigate the image of nurse that the public think and feel about nurse.
KeyWords
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Nurse, Internet, Social Media, Image
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ÇмúÁøÈïÀç´Ü(KCI)