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Indexed by:会议论文

Date of Publication:2015-01-01

Included Journals:CPCI-SSH

Page Number:155-160

Key Words:financial hot events; social network; emotion analysis

Abstract:Since Sina microblogging was first launched in August 2009, that seems to have become the major social media communication platform in China, microblogging is increasingly deep into life. In this study, we analyze the sentiment of microbloging financial hot events based on Ren-CECps. According to financial hot events in chronological, choosing the microblogging hot events of "Housing Price" for instance, crawling through Sina microblogging we can get the corpuses that contains the specified events. The method uses word frequency statistics to access microblogging corpus, analyzing trends in specific keywords concerns. At the same time, according to specific keywords related to micro-Bo, we can calculate the emotions of related microblogging via Ren-CECps. Furthermore, according to changes from time to time, we make a corresponding data charts, visual display of such trends. Finally, we try to demonstrate the relationship between financial hot events and economic trend. In this study, we illustrate that we can get a good result of emotion calculation using Ren-CECps in such a microblogging Chinese text with fragmentation and discrete feature. As a further indication of such excellent Chinese emotion corpus, the practical and research value in it are enormous.