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I have a large number of observations. Each observation contains:

  • dependent variable: a scores ranging from 0 - 100
  • independent variable: a large article

I want to know which words or phrases predict a higher score.

I know that for discrete dependent variables, Naive Bayes can be used for this task. How do I conduct this analysis with a continuous dependent variable?

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  • $\begingroup$ As described on the below question, there would be no problem with Naive Bayes and continuous and discrete variables together. Or is the dependency something that brakes the rule? stats.stackexchange.com/questions/136577/… $\endgroup$ – mico Dec 30 '17 at 10:58
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    $\begingroup$ Yes, that question has continuous variables as predictors. However, it has a discrete variable which it wishes to predict. I wish to predict a continuous variable. $\endgroup$ – user341502 Dec 30 '17 at 11:25

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