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You mean Naive Bayes? Because it can't account for interactions between the effects of multiple words.
by var_explained 9y ago
You mean Naive Bayes? Because it can't account for interactions between the effects of multiple words.
- faragon 9y agoJust add some "magic", e.g. per response analysis and inter-response rule-based system.
- var_explained 9y agoIf you keep adding "magic" and doing careful research on what magic works and what doesn't, you end up roughly with the modern field of machine learning. Random forests are a method that's often effective in taking into account many interactions among high dimensional data.
- faragon 9y agoExpert Systems "magic" predates neural networks by decades, being predictable and giving validable results (unlike most ML models).