摘要
文章建立了一种基于性格、心情和情感空间的多层次心理预警模型,将性格、心情与情感进行映射,准确地模拟人类情感变化规律;针对微博文本的特点,提出了情感元理论,构建了微博心理情感词典(MPED词典),实验表明该方法有效地实现了对微博情感的分析和描述;最后通过所设计的微博情感预警系统,实现了对观察对象心理状况的可视化分析和及时预警,验证了研究方法的有效性。
Based on the multi-level psychological prewarning model combined with spaces of personali-ty, temper and emotion, the changing rules of people＇s emotion are precisely simulated by mapping their personality, temper and emotion. Then, according to the characteristics of the microblog texts, the emotion element theory is put forward to construct the microblog psychological emotion dictionary （MPED）. The result shows that this method can effectively analyze and describe those microblog e-motions. The method proposed in this paper is effective, which is verified by the visual analysis and timely prewarning of the psychological status of all the objects of observation with the designed prew-arning system of microblog emotion.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2013年第11期1318-1322,共5页
Journal of Hefei University of Technology：Natural Science
基金
合肥工业大学科学研究发展基金资助项目(2013HGXJ0420)
关键词
微博
心理预警模型
情感词典
情感识别
情感元
microblog
psychological prewarning model
emotion dictionary
emotion recognition
e-motion element
