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by MontyCarloHall
1101 days ago
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Sure—you just use a likelihood function that doesn’t assume reviews are independently and identically distributed (where each review is an independent Bernoulli trial) but rather have some dependence on other reviews that are nearby in time. For example, a (Markov) switching autoregressive model, e.g. [0]. Everything else about Bayes’ rule (weighting likelihood by a prior distribution and re-normalizing to obtain a distribution over model parameters) applies just the same. [0] https://www.statsmodels.org/dev/examples/notebooks/generated... |
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