I need some tool to classify articles based on short category text which consists of two or three words separated by '-'. The RSS/XML tag content is for example:
Foreign - News
Football - Foreign
I created my own categories and now I need to classify categories from parsed RSS of this news source, so it fits news categories defined by me.
I would for example need all articles containing category "football" to be identified as a category Sport but sometimes those categories XML tags contains exact match like Foreign - News should belong in the DB to category defined by me as Foreign.
I can of course also use longer description text if that would be needed but I think for this simple problem that would not be even necessary.
Since I used only trained decision trees frameworks so far for another project, I would like to hear advice about approach, AI technique or particular framework I can use to solve this problem. I don't want to get into a dead-end street by my own poor in this field not experienced decision.