【目的/意義】近年來霧霾天氣日益嚴重,如何通過對霧霾情感及霧霾信息傳播特點的研究為霧霾事件情緒預警、情緒監控提供支持,同時正確引導公眾情緒等問題亟待解決。【方法/過程】文章以2015年北京新浪微博用戶所發布的"霧霾"話題信息作為研究對象,數據預處理后,構建出一個基于樸素貝葉斯的兩層分類器對原始微文進行情感分析,并利用Gephi平臺對其評論信息進行社會網絡分析。【結果/結論】得出五類群體:政府、媒體、自媒體、企業和普通公眾對霧霾的情感態度,同時結合霧霾輿情信息的社會網絡特點,提出了霧霾情緒管理與疏導,以及如何正確引導公眾關注點、控制網絡輿情的相關建議。

【Purpose/significance】In recent years, the haze has become more and more serious. The problem that how to study users’ emotion and the propagation characteristics of haze information information for haze events emotional early warning, providing support to emotional monitoring, and correctly guiding public sentiment is truly urgent.【 Methods/processes】This paper took the information about weibo topic"haze"of Beijing users in 2015 for this study. After data preprocessing, the article built a two-layer emotion classifier based on naive Bayes classifier algorithm to do sentiment analysis,and used social networking platform Gephi for the comments analysis.【Results/conclusions】Finally got the five groups’ :the government, the media, we media, business and the general public attitudes towards the haze and put forward the means of haze anger management and counseling, as well as the suggestions about how to correctly guide public concerns and control the network public opinions.