Body: <p>I have a large number of observations. Each observation contains:</p>
  
  <ul>
  <li>dependent variable: a scores ranging from 0 - 100</li>
  <li>independent variable: a large article</li>
  </ul>
  
  <p>I want to know which words or phrases predict a higher score.</p>
  
  <p>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?</p>
  
Comments.ContentLicense: CC BY-SA 3.0
Comments.CreationDate: 2017-12-30T10:58:40.890Z
Comments.Text: 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?
  
  https://stats.stackexchange.com/questions/136577/how-to-deal-with-mixture-of-continuous-and-discrete-features-when-using-naive-ba
Comments.UserDisplayName: mico
Comments.ContentLicense: CC BY-SA 3.0
Comments.CreationDate: 2017-12-30T11:25:31.780Z
Comments.Text: 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.
Comments.UserDisplayName: user341502
Tags: <machine-learning><deep-learning><training><natural-language-processing><learning-algorithms>
Title: Natural language processing with a continuous dependent variable
UserDisplayName: user341502
ThreadText: # Natural language processing with a continuous dependent variable
  
  (Asked by: username_0 on 2017-12-24)
  
  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?
  
  **Tags:** machine-learning, deep-learning, training, natural-language-processing, learning-algorithms
  
  > **Comments:**
  > **username_1**: 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?  https://stats.stackexchange.com/questions/136577/how-to-deal-with-mixture-of-continuous-and-discrete-features-when-using-naive-ba  
  > **username_0**: 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.  
  
  ---
  
  ## 0 answers
  
  