收稿日期: 2016-01-29
网络出版日期: 2016-11-15
Chinese mood variation analysis based on Sina Weibo
Received date: 2016-01-29
Online published: 2016-11-15
汪静莹 , 甘硕秋 , 赵楠 , 刘天俐 , 朱廷劭 . 基于微博用户的情绪变化分析[J]. 中国科学院大学学报, 2016 , 33(6) : 815 -824 . DOI: 10.7523/j.issn.2095-6134.2016.06.014
This study tried to recognize the Chinese mood variations in different seasons and time periods via the big data on Internet. Participants were 1.95 million active users of Sina Weibo. We downloaded their data of one week selected in each of the four seasons of one year. Then we used TextMind to calculate the ratios of positive affect (PA) and negative affect (NA) words. Results are given as follows. 1) Integrated mood had two peaks at noon and 8 o'clock in the evening. 2) Although PA in weekends was not different from that on the weekdays, NA in weekends was lower than that on weekdays. 3) In summer, both PA and NA were the highest. In autumn, both PA and NA were the lowest. 4) The two genders had similar mood variation trends, but females had more mood expressions than males and they were sentimental and susceptive.
Key words： microblog; mood; circadian rhythm; big data; sex differences
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