首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Analyzing social media data having discontinuous underlying dynamics
Authors:LD Servi
Institution:The MITRE Corporation, 202 Burlington Road, Bedford, MA 01773, USA
Abstract:This paper develops a real time algorithm which identifies times of emotional discontinuity as reflected in social media. The paper formulates the optimization problem to solve, develops an algorithm to solve it using dynamic programming, and illustrates the new method by analyzing mood shifts reflected in 380,000 Twitter messages related to one of the world’s most popular soccer teams, Manchester United, during their 2011–12 season.
Keywords:Breakpoints  Dynamic programming  Social media  LIWC  Dynamics of emotions  Twitter
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号