most citedET-LDA: Joint Topic Modeling For Aligning, Analyzing and Sensemaking of Public Events and Their Twitter Feeds

1 citations · 1 across the 1 of their papers we have counts for

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1 paper

cs.LG2012★ 1 cited

ET-LDA: Joint Topic Modeling For Aligning, Analyzing and Sensemaking of Public Events and Their Twitter Feeds

Yuheng Hu, Ajita John, Fei Wang +2

Social media channels such as Twitter have emerged as popular platforms for crowds to respond to public events such as speeches, sports and debates. While this promises tremendous…