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Hi, is D-ETM good for streamin data sources? How do you suggest training in mini-batches of data as it accumulates?
I also have another related question. I understand that DETM can adjust the model for concept drifts by shifting the mean and varience of topics by gaussian distribution. What if there is a particular topic that exists only (and heavily) in only one (or a few) particular time interval. Would DETM be able to detect it? Or is there an assumption that all topics exist at all time intervals?
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