Papers with posting time

1 papers
Neural Temporal Opinion Modelling for Opinion Prediction on Twitter (2020.acl-main)

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Challenge: Existing studies have used a manual segmentation of a tweet sequence into equallyspaced intervals based on either tweet counts or time duration.
Approach: They propose to model users’ tweet posting behaviour as a temporal point process to jointly predict the posting time and the stance label of the next tweet given a user’s historical tweet sequence and tweets posted by their neighbours.
Outcome: The proposed model predicts the posting time and the stance labels of future tweets more accurately compared to baselines.

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