Comments on: Topic extraction using Wikipedia data http://blog.prashanthellina.com/2007/12/21/topic-extraction-using-wikipedia-data/ ( to ) ? be : ! be; Fri, 25 Jul 2008 15:01:48 +0000 http://wordpress.org/?v=2.5 By: prashanthellina http://blog.prashanthellina.com/2007/12/21/topic-extraction-using-wikipedia-data/#comment-2591 prashanthellina Mon, 31 Mar 2008 16:52:26 +0000 http://blog.prashanthellina.com/2007/12/21/topic-extraction-using-wikipedia-data/#comment-2591 Chris, Your work is interesting! I tried out the page you gave me for a paragraph. I believe a constrained tagging vocabulary for all kinds of content is a great way to "semanticize" it. You can take a look at this presentation (http://www.prashanthellina.com/docs/interesting_ways_of_using_wikipedia_data.pdf) to get more details about my algorithm. You can contact me at prashanthellina AT gmail.com. Chris,

Your work is interesting! I tried out the page you gave me for a paragraph. I believe a constrained tagging vocabulary for all kinds of content is a great way to “semanticize” it. You can take a look at this presentation (http://www.prashanthellina.com/docs/interesting_ways_of_using_wikipedia_data.pdf) to get more details about my algorithm. You can contact me at prashanthellina AT gmail.com.

]]> By: chris sizemore http://blog.prashanthellina.com/2007/12/21/topic-extraction-using-wikipedia-data/#comment-2491 chris sizemore Fri, 28 Mar 2008 13:04:13 +0000 http://blog.prashanthellina.com/2007/12/21/topic-extraction-using-wikipedia-data/#comment-2491 hi there, would have sent you an email, but haven't noticed an obvious one after a very quick scan i'm really impressed and intrigued by your research here... your approach and algorithm seems very complementary to what i've been experimenting with... http://www.slideshare.net/guest2c797e/wikipedia-as-controlled-vocabulary/ http://sells.welcomebackstage.com:5000/item/submit do let me know what you think. i wonder if there's an easy way for me to try your node interconnectedness approach out as an additional filter in my approach? best-- --chris sizemore hi there, would have sent you an email, but haven’t noticed an obvious one after a very quick scan

i’m really impressed and intrigued by your research here… your approach and algorithm seems very complementary to what i’ve been experimenting with…

http://www.slideshare.net/guest2c797e/wikipedia-as-controlled-vocabulary/

http://sells.welcomebackstage.com:5000/item/submit

do let me know what you think. i wonder if there’s an easy way for me to try your node interconnectedness approach out as an additional filter in my approach?

best–

–chris sizemore

]]> By: prashanthellina http://blog.prashanthellina.com/2007/12/21/topic-extraction-using-wikipedia-data/#comment-1200 prashanthellina Tue, 01 Jan 2008 14:05:19 +0000 http://blog.prashanthellina.com/2007/12/21/topic-extraction-using-wikipedia-data/#comment-1200 I did try neato and fdp and in both the cases the layout was not good as nodes were overlapping and edges would cut through nodes. I will however try out neato -Gmodel=subset and get back. Thanks for the tip. I did try neato and fdp and in both the cases the layout was not good as nodes were overlapping and edges would cut through nodes. I will however try out neato -Gmodel=subset and get back. Thanks for the tip.

]]> By: robojiannis http://blog.prashanthellina.com/2007/12/21/topic-extraction-using-wikipedia-data/#comment-1199 robojiannis Tue, 01 Jan 2008 13:47:50 +0000 http://blog.prashanthellina.com/2007/12/21/topic-extraction-using-wikipedia-data/#comment-1199 Hey Stephen North just posted a comment on my blog about your work, which could be of interest for you. "<em>Hi. I’d suggest at least trying neato or fdp for layouts of these networks, particularly, neato -Gmodel=subset</em>" Hope it helps. Hey Stephen North just posted a comment on my blog about your work, which could be of interest for you.

“Hi. I’d suggest at least trying neato or fdp for layouts of these networks, particularly, neato -Gmodel=subset”

Hope it helps.

]]> By: social media and green horses » Topic extraction in wikipedia http://blog.prashanthellina.com/2007/12/21/topic-extraction-using-wikipedia-data/#comment-1164 social media and green horses » Topic extraction in wikipedia Sun, 30 Dec 2007 17:10:05 +0000 http://blog.prashanthellina.com/2007/12/21/topic-extraction-using-wikipedia-data/#comment-1164 [...] Ellina made a great work extracting topics using wikipedia data. Using the Graphviz program, he shows “…the wealth of information (both as text and as [...] […] Ellina made a great work extracting topics using wikipedia data. Using the Graphviz program, he shows “…the wealth of information (both as text and as […]

]]> By: shanmuganandh http://blog.prashanthellina.com/2007/12/21/topic-extraction-using-wikipedia-data/#comment-1125 shanmuganandh Thu, 27 Dec 2007 02:31:22 +0000 http://blog.prashanthellina.com/2007/12/21/topic-extraction-using-wikipedia-data/#comment-1125 cool... cool…

]]> By: prashanthellina http://blog.prashanthellina.com/2007/12/21/topic-extraction-using-wikipedia-data/#comment-1041 prashanthellina Fri, 21 Dec 2007 12:59:41 +0000 http://blog.prashanthellina.com/2007/12/21/topic-extraction-using-wikipedia-data/#comment-1041 I did but it was pushing down relevant nodes for some sample texts. I did but it was pushing down relevant nodes for some sample texts.

]]> By: venkat http://blog.prashanthellina.com/2007/12/21/topic-extraction-using-wikipedia-data/#comment-1040 venkat Fri, 21 Dec 2007 12:46:30 +0000 http://blog.prashanthellina.com/2007/12/21/topic-extraction-using-wikipedia-data/#comment-1040 brilliant! you amaze me, as ever. did you try using the global interconnect count for filtering? brilliant!
you amaze me, as ever.

did you try using the global interconnect count for filtering?

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