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Search found 5 results on 1 pages for 'sadawd'.

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• Policy Routing with Openvpn?

  - by sadawd

  Dear Everyone I am currently using openvpn for normal browsing. However, I have the following services running: a bit torrent client, a web server, IRC and a git server which I would really want it to not be using my vpn connection (and use my original connection instead). Is there a way to do this? I looked up policy routing and I can't really find any tutorial on how to do this on linux (I am on ubuntu). I don't want the solution to be incredibly complicated - I am pretty new to networking in ubuntu and I only want a very simple solution to this problem. Can someone help me out?

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• Python networkx DFS or BFS missing?

  - by sadawd

  Dear Everyone I am interested in finding a path (not necessarily shortest) in a short amount of time. Dijsktra and AStar in networkx is taking too long. Why is there no DFS or BFS in networkx? I plan to write my own DFS and BFS search (I am leaning more towards BFS because my graph is pretty deep). Is there anything that I can use in networkx's lib to speed me up? Thx

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• Python KMeans clustering words

  - by sadawd

  Dear Everyone I am interested to perform kmeans clustering on a list of words with the distance measure being Leveshtein. 1) I know there are a lot of frameworks out there, including scipy and orange that has a kmeans implementation. However they all require some sort of vector as the data which doesn't really fit me. 2) I need a good clustering implementation. I looked at python-clustering and realize that it doesn't a) return the sum of all the distance to each centroid, and b) it doesn't have any sort of iteration limit or cut off which ensures the quality of the clustering. python-clustering and the clustering algorithm on daniweb doesn't really work for me. Can someone find me a good lib? Google hasn't been my friend

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• Simple NLP: How to use ngram to do word similarity?

  - by sadawd

  Dear Everyone, I Hear that google uses up to 7-grams for their own data. I am interested in finding words that are similar in context (i.e. cat and dog) and I was wondering how do I compute the similarity of two words on a n-gram model given that n 2. Given a sample set like this forexample: (I, love cats), (cats, loves, dogs), (dogs, hate, human) What is a good way to compare the similarity of this pair (I, cats)? Also does anyone know of anyway to do levels for NLP? like: Army-Military-Solider ?

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• NLP: any easy and good methods to find semantic similarity between words?

  - by sadawd

  Dear Everyone, I don't know whether stackoverflow covers NLP, so I am gonna give this a shot. I am interested to find the semantic relatedness of two words from a specific domain, i.e. "image quality" and "noise". I am doing some research to determine if reviews of a cameras are positive or negative for a particular attribute of the camera. (like image quality in each one of the reviews). However, not everybody uses the exact same wording "image quality" in the posts, so I am out to see if there is a way for me to build something like that: "image quality" which includes ("noise", "color", "sharpness", etc etc) so I can wrap all everything within one big umbrella. I am doing this for another language, so Wordnet is not necessarily helpful. And no, I do now work for Google or Microsoft so I do not have data from people's clicking behavior as input data either. However, I do have a lot of text, pos-tagged, segmented etc. Thanks

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