Comments for MetaOptimize http://metaoptimize.com/blog building machine learning and natural language processing tools Mon, 30 Jan 2012 04:05:03 +0000 http://wordpress.org/?v=abc hourly 1 Comment on PyLucene 3.0 in 60 seconds — Tutorial sample code for the 3.0 API by Félix López http://metaoptimize.com/blog/2010/08/09/pylucene-3-0-in-60-seconds-tutorial-sample-code-for-the-3-0-api/comment-page-1/#comment-1130 Félix López Mon, 30 Jan 2012 04:05:03 +0000 http://metaoptimize.com/blog/?p=135#comment-1130 <span class="topsy_trackback_comment"><span class="topsy_twitter_username"><span class="topsy_trackback_content">tutorial pylucene http://t.co/M6OzXMSJ</span></span> tutorial pylucene http://t.co/M6OzXMSJ

]]> Comment on KEA Keyphrase Extraction as an XML-RPC service (code release) by Dennis Plucinik http://metaoptimize.com/blog/2010/08/18/kea-keyphrase-extraction-as-an-xml-rpc-service/comment-page-1/#comment-1129 Dennis Plucinik Thu, 26 Jan 2012 02:48:08 +0000 http://metaoptimize.com/blog/?p=169#comment-1129 <span class="topsy_trackback_comment"><span class="topsy_twitter_username"><span class="topsy_trackback_content">Reading: KEA Keyphrase Extraction as an XML-RPC service (code release) – MetaOptimize: http://t.co/qfsrcWTX</span></span> Reading: KEA Keyphrase Extraction as an XML-RPC service (code release) – MetaOptimize: http://t.co/qfsrcWTX

]]> Comment on KEA Keyphrase Extraction as an XML-RPC service (code release) by MAX http://metaoptimize.com/blog/2010/08/18/kea-keyphrase-extraction-as-an-xml-rpc-service/comment-page-1/#comment-1124 MAX Tue, 29 Nov 2011 23:54:00 +0000 http://metaoptimize.com/blog/?p=169#comment-1124 Hey it seems that when I setup the xml-rpc service, the KEA stopwords functionality is not running anymore(It's working if I run it in command line), any idea about this? Thanks! Hey it seems that when I setup the xml-rpc service, the KEA stopwords functionality is not running anymore(It’s working if I run it in command line), any idea about this? Thanks!

]]> Comment on NLP Challenge: Find semantically related terms over a large vocabulary (>1M)? by Web design London http://metaoptimize.com/blog/2010/11/05/nlp-challenge-find-semantically-related-terms-over-a-large-vocabulary-1m/comment-page-2/#comment-1123 Web design London Mon, 21 Nov 2011 19:56:00 +0000 http://metaoptimize.com/blog/?p=220#comment-1123 Awesome article..You have done a great job..Your preprocessing on the training dataset shows that you tend to find "collocations" but not "semantic related". Moreover, the unique operation on the terms makes the dataset less useful because co-occurrence frequency count is critical for building a reasonable similarity or association measure. Thanks for sharing it...! <a href="//www.mactonweb.com”" rel="nofollow">web Design london </a> Awesome article..You have done a great job..Your preprocessing on the training dataset shows that you tend to find “collocations” but not “semantic related”. Moreover, the unique operation on the terms makes the dataset less useful because co-occurrence frequency count is critical for building a reasonable similarity or association measure. Thanks for sharing it…!

web Design london

]]> Comment on PyLucene 3.0 in 60 seconds — Tutorial sample code for the 3.0 API by kudzu http://metaoptimize.com/blog/2010/08/09/pylucene-3-0-in-60-seconds-tutorial-sample-code-for-the-3-0-api/comment-page-1/#comment-1122 kudzu Sun, 20 Nov 2011 22:33:10 +0000 http://metaoptimize.com/blog/?p=135#comment-1122 <span class="topsy_trackback_comment"><span class="topsy_twitter_username"><span class="topsy_trackback_content">pyluceneマジ簡単だよ、と言われてみせてもらったら本当に簡単そうだった。http://t.co/KLzbzMxQ</span></span> pyluceneマジ簡単だよ、と言われてみせてもらったら本当に簡単そうだった。http://t.co/KLzbzMxQ

]]> Comment on Discussion 2.0: Personalization by Applied AI http://metaoptimize.com/blog/2011/05/22/discussion-2-0-personalization/comment-page-1/#comment-1116 Applied AI Sat, 05 Nov 2011 18:22:58 +0000 http://metaoptimize.com/blog/?p=248#comment-1116 <span class="topsy_trackback_comment"><span class="topsy_twitter_username"><span class="topsy_trackback_content">RT @turian: Discussion 2.0: Personalization http://t.co/KjHrC6Lw</span></span> RT @turian: Discussion 2.0: Personalization http://t.co/KjHrC6Lw

]]> Comment on Discussion 2.0: Personalization by Hasan Tayyar BEŞİK http://metaoptimize.com/blog/2011/05/22/discussion-2-0-personalization/comment-page-1/#comment-1113 Hasan Tayyar BEŞİK Mon, 12 Sep 2011 19:17:39 +0000 http://metaoptimize.com/blog/?p=248#comment-1113 <span class="topsy_trackback_comment"><span class="topsy_twitter_username"><span class="topsy_trackback_content">Discussion 2.0: Personalization – MetaOptimize http://j.mp/oYgmow</span></span> Discussion 2.0: Personalization – MetaOptimize http://j.mp/oYgmow

]]> Comment on Fat Free CRM in five minutes on a fresh Amazon EC2 micro instance by rubyalert http://metaoptimize.com/blog/2010/12/29/fat-free-crm-in-five-minutes-on-a-fresh-amazon-ec2-micro-instance/comment-page-1/#comment-1112 rubyalert Fri, 09 Sep 2011 04:43:00 +0000 http://metaoptimize.com/blog/?p=244#comment-1112 <span class="topsy_trackback_comment"><span class="topsy_twitter_username"><span class="topsy_trackback_content">Fat Free CRM in five minutes on a fresh Amazon EC2 micro instance – MetaOptimize: http://t.co/y51MhUO</span></span> Fat Free CRM in five minutes on a fresh Amazon EC2 micro instance – MetaOptimize: http://t.co/y51MhUO

]]> Comment on NLP Challenge: Find semantically related terms over a large vocabulary (>1M)? by SEO http://metaoptimize.com/blog/2010/11/05/nlp-challenge-find-semantically-related-terms-over-a-large-vocabulary-1m/comment-page-2/#comment-1111 SEO Thu, 01 Sep 2011 07:30:00 +0000 http://metaoptimize.com/blog/?p=220#comment-1111 Blogging keeps me insane. Keep up all the positive work. I too love to blog. I found this one to be very informative :) <a href="http://www.esignwebservices.com/search_engine_optimization_service.html" rel="nofollow">Search Engine Optimization India</a> Blogging keeps me insane. Keep up all the positive work. I too love to blog. I found this one to be very informative :)

Search Engine Optimization India

]]> Comment on NLP Challenge: Find semantically related terms over a large vocabulary (>1M)? by web design london http://metaoptimize.com/blog/2010/11/05/nlp-challenge-find-semantically-related-terms-over-a-large-vocabulary-1m/comment-page-2/#comment-1110 web design london Mon, 29 Aug 2011 21:55:00 +0000 http://metaoptimize.com/blog/?p=220#comment-1110 Very interesting never thought of this as a solvable problem but i will look at it and give it a good go. Very interesting never thought of this as a solvable problem but i will look at it and give it a good go.

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