Social Emotion Analysis System for Online News
Social emotion analysis of online users has become an important task for mining public opinions, which aims at detecting the readers emotions evoked by online news articles.In this paper, we focus on building a social emotion analysis system(SEAS) fur online news.The system has implemented a text data crawler for mainstream online news websites, the modules of document preprocessing, decument representation, and also integrates successful emotion analysis methods and provides the corresponding performance evaluation.SEAS will automatically analyze the emotions towards certain news articles and output the predicted emotions and probabilities of being classified into these emotion categories.The experiments on the real dataset from online news service demonstrate the high practicability and reliability of SEAS.
text data crawler social emotion analysis system design and implementation machine learning
Peng Nie Xue Zhao Li Yu Chao Wang Ying Zhang
College of Software, Nankai Univeristy, Tianjin 300071, China College of Computer and Control Engineering, Nankai University, Tianjin 300071, China College of Software, Nankai Univeristy, Tianjin 300071, China;College of Computer and Control Engine
国际会议
济南
英文
43-48
2015-09-11（万方平台首次上网日期，不代表论文的发表时间）