机译:具有成本效益的在线趋势趋势话题检测和微博中的流行度预测
Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai, Peoples R China;
Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai, Peoples R China;
Santa Clara Univ, Dept Comp Engn, Santa Clara, CA USA;
Aston Univ, Sch Engn & Appl Sci, Birmingham, W Midlands, England;
Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai, Peoples R China;
Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai, Peoples R China;
Georgia Inst Technol, Sch Computat Sci & Engn, Atlanta, GA 30332 USA;
Topic detection; prediction; microblogging; cost;
机译:微博中的事件检测和流行度预测
机译:基于单目标演进的在线社交网络主题普及预测
机译:基于深度学习的媒体数据检测和预测流媒体数据
机译:使用主题模型进行在线趋势分析:#twitter趋势检测在线主题模型
机译:主题情绪趋势检测与社交媒体预测
机译:基于微博数据的热点话题预识别模型
机译:高性价比的在线趋势话题检测和微博流行度预测