Academic Journal of Humanities & Social Sciences, 2019, 2(2); doi: 10.25236/AJHSS.040050.
Xiyang Zhao*, Meihong Wu
Business School of Sichuan University, Chengdu 610065, China
*Corresponding author e-mail: [email protected]
Sina Weibo is the most influential social media platform in China. Its large number of users and high activity make it a platform for information dissemination and public opinion fermentation. Taking the M-Cup panic buying incident as an example, this paper first reviews the process from the occurrence to the end of the whole event. Secondly, through emotional analysis and keyword analysis, it analyzes the public's emotional attitude and causes to this event. Then, it identifies opinion leaders by two-level clustering method. Finally, it explores the change of emotional values of opinion leaders and general users. Case analysis shows that S company has well handled the M-Cup panic buying incident and the opinion leader emotinal value fluctuations is greater than that of the general user emotional value.
Emotion analysis, Weibo, Opinion leader, Two-level clustering
Xiyang Zhao, Meihong Wu, Public Emotion Analysis Based on the Influence of Opinion Leaders on Weibo. Academic Journal of Humanities & Social Sciences (2019) Vol. 2, Issue 2: 111-121. https://doi.org/10.25236/AJHSS.040050.
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