Emotion Analysis on Social Big Data

作     者：REN Fuji Kazuyuki Matsumoto 

作者机构：Tokushima UniversityTokushima7708506Japan 

出 版 物：《ZTE Communications》 (中兴通讯技术（英文版）)

年 卷 期：2017年第15卷第B12期

页      面：30-37页

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

基　　金：JSPSKAKENHI under Grant Number15H01712 

主　　题：emotion analysis social big data analysis affective computin 

摘      要：In this paper,we describe a method of emotion analysis on social big data.Social big data means text data that is emerging on Internet social networking services.We collect multilingual web corpora and annotated emotion tags to these corpora for the purpose of emotion analysis.Because these data are constructed by manual annotation,their quality is high but their quantity is low.If we create an emotion analysis model based on this corpus with high quality and use the model for the analysis of social big data,we might be able to statistically analyze emotional sensesand behavior of the people in Internet communications,which we could not know before.In this paper,we create an emotion analysis model that integrate the highquality emotion corpus and the automaticconstructed corpus that we created in our past studies,and then analyze a large-scale corpus consisting of Twitter tweets based on the model.As the result of time-series analysis on the large-scale corpus and the result of model evaluation,we show the effectiveness of our proposed method.