Hi, I'm exploring a way to suggest keywords/tags based on a text snippet. I have a fairly small set of the taxonomy of product, release, category, type, etc. stored in an in-memory database. What I'm looking at is a tool which will analyze a given text, suggest not only the fields associated with taxonomy but keywords which it might feel relevant to the text. The keywords can be leveraged as a mechanism for findability of the document. As a newbie in this area, I'm a tad overwhelmed at different options and struggling to find the right approach.To start with I tried GATE, but it seems to be limited only providing taxonomy data which needs to be provided as a flat text. Few people suggested using classifiers like Naive Bayes classifier or other machine learning tools.
I'll appreciate if anyone can provide some direction in this regard. Thanks, Shamik
