To Investigate The Influence of Social Events on Corporate Image by Text Exploration and Semantic Sentiment Analysis.

碩士 === 國立高雄師範大學 === 人力與知識管理研究所 === 107 === It is very convenient for people to use the internet to inquiry data due to the development of the Internet. When people look for work, they use the community websites to query and discuss their opinions. In the meantime, it is very important for enterprise...

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Bibliographic Details
Main Authors: LEE, SHIH-YING, 李詩瑩
Other Authors: LIN,YU-SEN
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/999p29
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spelling ndltd-TW-107NKNU04570152019-10-05T03:47:09Z http://ndltd.ncl.edu.tw/handle/999p29 To Investigate The Influence of Social Events on Corporate Image by Text Exploration and Semantic Sentiment Analysis. 以文字探勘及語意情感分析探討社會事件對企業形象之影響 LEE, SHIH-YING 李詩瑩 碩士 國立高雄師範大學 人力與知識管理研究所 107 It is very convenient for people to use the internet to inquiry data due to the development of the Internet. When people look for work, they use the community websites to query and discuss their opinions. In the meantime, it is very important for enterprise to establish and maintain a good corporate image, and it’s not immutable, whether an outbreak of social events and crisis management will affect the emotional image of companies discussing articles on community websites. The purpose of this study is to use R and text exploration technical analysis of big data. The company of this case has a total of 24 time points on a quarterly basis from 2013 to 2018 before and after the social events. After the case company relevant texts discussed articles acquisition in the PTT community, pre-processing, data processing and analysis were carried out, and the data visualization word cloud was used to present the distribution of key topic words. Finally, explore the publics opinion on the sentiment analysis of the case company discussion articles. LIN,YU-SEN 林裕森 2019 學位論文 ; thesis 50 zh-TW
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description 碩士 === 國立高雄師範大學 === 人力與知識管理研究所 === 107 === It is very convenient for people to use the internet to inquiry data due to the development of the Internet. When people look for work, they use the community websites to query and discuss their opinions. In the meantime, it is very important for enterprise to establish and maintain a good corporate image, and it’s not immutable, whether an outbreak of social events and crisis management will affect the emotional image of companies discussing articles on community websites. The purpose of this study is to use R and text exploration technical analysis of big data. The company of this case has a total of 24 time points on a quarterly basis from 2013 to 2018 before and after the social events. After the case company relevant texts discussed articles acquisition in the PTT community, pre-processing, data processing and analysis were carried out, and the data visualization word cloud was used to present the distribution of key topic words. Finally, explore the publics opinion on the sentiment analysis of the case company discussion articles.
author2 LIN,YU-SEN
author_facet LIN,YU-SEN
LEE, SHIH-YING
李詩瑩
author LEE, SHIH-YING
李詩瑩
spellingShingle LEE, SHIH-YING
李詩瑩
To Investigate The Influence of Social Events on Corporate Image by Text Exploration and Semantic Sentiment Analysis.
author_sort LEE, SHIH-YING
title To Investigate The Influence of Social Events on Corporate Image by Text Exploration and Semantic Sentiment Analysis.
title_short To Investigate The Influence of Social Events on Corporate Image by Text Exploration and Semantic Sentiment Analysis.
title_full To Investigate The Influence of Social Events on Corporate Image by Text Exploration and Semantic Sentiment Analysis.
title_fullStr To Investigate The Influence of Social Events on Corporate Image by Text Exploration and Semantic Sentiment Analysis.
title_full_unstemmed To Investigate The Influence of Social Events on Corporate Image by Text Exploration and Semantic Sentiment Analysis.
title_sort to investigate the influence of social events on corporate image by text exploration and semantic sentiment analysis.
publishDate 2019
url http://ndltd.ncl.edu.tw/handle/999p29
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