Building document classifier based on keywords, what would be the steps? I have a requirement of classifying documents(.doc files) based on the profiles. I have a csv file with data:

label          keyWords
Web developer  ["html","css","php"]
Developer      ["core","java","python"]
Embedded Dev   ["ARM", "CORTEX", "C"]


Now I want to classify the .doc files.

Also please do tell me what model to use ? or broad steps for proceeding (like building dataframe-> then splitting data and so on...)

EDIT:Any pointers on how to proceed with document classifier ?
Got your email... 

Built this example repository for ya:
https://github.com/dancrew32/resume_classifer/

If you go through the notebook, I outlined the process of setting up labels, different folders for different kinds of resumes, loading them up, vectorizing text, classifying using logistic regression.

https://github.com/dancrew32/resume_classifer/blob/master/Resume%20Doc%20Classifier.ipynb

Let me know if you have any questions.

P.S. Never adding a skip button ;)