Hi useRs, This is not so much a help request as it is a request for feedback about the possibilities of using Natural Language Processing (NLP) techniques on the r-help archives for a more 'effective' retrieval of answers. A few points that may capture what I'm trying to get at: 1) R has an emerging set of packages for NLP and text mining. Is it possible to provide the r-help archives (for a certain period of course) as a text corpus. 2) It is easy to search for R problems and get 'exact' results via Google search. rseek.org does a great job too. Would a semantic parser provide more accurate results? 3) This effort probably falls under the Question-Answer modeling domain in NLP, which is an area of application being used in chat automation, chat-bots and to improve response prediction when a human interacts with a query system. I would like to use some of the NLP tool-kits available in Java and Python with the r-help archive data and maybe create an application that uses semantic filtering for query and search. I'd appreciate knowing what others think about such an undertaking. Thank you. Regards, Harsh Singhal [[alternative HTML version deleted]]