Further notes on Naive Bayes
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چکیده
The aphorism “All models are wrong but some are useful” (Box, 1978) sums up much of what ML is about. The assumptions we make in the Naive Bayes approach to sentimanet classification are wrong, but this is true of the assumptions made in all current formal models of human language (statistical or otherwise), with the possible exception of a few which are very restricted indeed. However, the question is whether a model provides useful results. We could mean a number of things by “useful” here. Practical utility in some system with real users is one possible goal. The development of deeper understanding of the phenonomenon is another. Naive Bayes is extremely useful as a baseline system in modelling human languages (baseline is a concept we discuss further below).
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