Application of social media mining on the comparison between two-dimensional barcode and near field communication

• Main Authors: Chun-ting Lin, 林俊廷
• Other Authors: Chien-wen Shen
• Format: Others
• Language: en_US
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/jnzrs6

碩士 === 國立中央大學 === 企業管理學系 === 103 === The whole field of information technology has witnessed unparalleled developments in recent years, and the rapid growth of mobile device like smartphone has driven the improvement of exist technologies, and also caused new waves of innovation to emerge, such as QR Code and NFC. While considerable attention has been paid in the past to research issues related to applications of the two technologies, there have been few attempts to focus on the social media aspects. This research applied several social media mining techniques including text mining and sentiment analysis to analyze user-generated data on Twitter, and presented an informative comparison of applications for the two different technologies. Results of the study reveal various scenarios that the QR Code and NFC have been mentioned or applied and the public sentiments toward the two technologies. To conclude, this research revealed the value of social media analysis and the ability of text mining as an effective technique to extract public opinions from the vast amount of available social media data. Recommendations were also provided to help future research explore profounder outcomes.