As others have said, this is a difficult problem, but a fascinating one too. I'm currently nibbling on building some grouping-by- similarity algorithms for Clojure, although I'm sticking to numerical criteria for similarity or "distance". New developments in text analysis and the Learning by Reading approach to AI, as described at http://blog.steinberg.org/?p=11 e.g., are making data science an exciting place. If you make some headway, please do share with us. I for one would love to see where you go and contribute if possible.
Cheers, Michael On Jul 28, 4:58 pm, Daniel <doubleagen...@gmail.com> wrote: > I want to write a clojure program that searches for similarities of > words in the english language and places them in a graph, where the > distance between nodes indicates their similarity. I don't mean > syntactical similarity. Related contextual meaning is closer to the > mark. > > For instance: "fish" and "reel" don't have much similarity, but in the > context of fishing they do, so the distance in such a graph wouldn't > be very large. > > I'm sure research has been done in this area (I suspect with no small > portion belonging to google), so can anybody point me in the right > direction? > > Thanks. -- You received this message because you are subscribed to the Google Groups "Clojure" group. To post to this group, send email to clojure@googlegroups.com Note that posts from new members are moderated - please be patient with your first post. To unsubscribe from this group, send email to clojure+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/clojure?hl=en
