本文借助GoogleNgramViewer,使用词频比较和语义挖掘方法,从PERMA理论的积极情绪、投入程度、关系、意义以及成就五个维度对社会媒体信息进行分析。总体说来,社会信息中代表积极情绪的正性词语要多于负性词语,说明人们在社会满意度和幸福感问题上持肯定态度。
<<With the aid of Google Ngram Viewer,using word frequency and semantic mining,we analysis on the information of social media from the five dimensions of the theory of PERMA,which include positive emotions,the degree of involvement,relationship,significance and achievement. Generally speaking,There are more positive words which represent positive emotions than negative words in social information,people have positive attitude on the issue of social satisfaction and happiness.
<<Keywords: | GuideHappiness Selection |