I have a spreadsheet with Titles in the first column, descriptions in the second column and whether or not they were included in our screening in the third column. We are attempting to find out which individual words were related to inclusion versus exclusion so that we can use them in a much larger data set. From my brief understanding of text mining, I think this would require a Naive Bayes or Logistic Regression method. Is this correct or is there a more appropriate method?
Preferably, without knowing the words in advance, I would hope to identify which are related to inclusion vs. exclusion.
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So if these two were considered to be included then for example the word "Excel" would be a common predictor.
I am sure that my question might be naive but am trying to understand the scope of the project and whether or not I can handle it, and how much assistance I will require to accomplish my goals.
Thanks in advance for all your help and insight.