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I am new to text mining and have trying to solve this problem using R.

My dataset looks like this: 

Col 1: Item Description (Text that I need to mine) ||
Col 2: Item category || 
Col 3: Item Sub Category

The output I need to get should be somewhat like this: 

Topic || Keyword 1 || Keyword 2 || Keyword 3   ... Keyword 10

Category A || Fitness || Beauty ........ 

Category B || .....

Sub Category AZ || 

Sub Category AY ||

Basically I need to get the top 10 keywords for each category and sub category.

What would be the best way to do it?

I apologize for my lack of knowledge about R. I would also be open to considering using other open source tools to do this operation.

Thanks in advance.

user9017479
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  • Welcome to SO. Please follow [How to make a great R reproducible example](https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example-aka-mcve-minimal-complete-and-ver) which helps us to help you. – CER Nov 28 '17 at 01:34
  • Have you looked at the tidytext package? – lawyeR Nov 28 '17 at 01:49

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