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Thread Popularity Prediction and Tracking with a Permutation invariant Model

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Figure

Figure 1: Architecture of DRRN-Attention model. The text representation module first converts state st and eachcommenti in action into embedding vectors
Table 1: Basic statics of discussion threads data fromfive subreddits.
Table 4: A Q-value prediction example using DRRN-BiLSTM and DRRN-Attention.
Table 5: The number of comments in the datasets usedby He et al. (2016c) and us.

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