{"id":7279,"date":"2010-08-25T18:27:04","date_gmt":"2010-08-25T18:27:04","guid":{"rendered":"http:\/\/www.earthwidemoth.com\/blog\/2010\/08\/25\/n-grams\/"},"modified":"2010-08-25T18:27:04","modified_gmt":"2010-08-25T18:27:04","slug":"n-grams","status":"publish","type":"post","link":"https:\/\/www.earthwidemoth.com\/blog\/2010\/08\/25\/n-grams\/","title":{"rendered":"N-grams"},"content":{"rendered":"<span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">\u23f3 Approximate reading time: <\/span> <span class=\"rt-time\"> &lt; 1<\/span> <span class=\"rt-label rt-postfix\">min<\/span><\/span><p>In the few spare minutes I&#8217;ve had this week, I&#8217;ve been trying out <a href=\"http:\/\/infomotions.com\/blog\/2010\/08\/linguaenbigram-version-0-02\/\">n-grams<\/a> as a comparable with other text-mining processes. This still fits squarely in the category of &#8220;a lot to learn,&#8221; but I&#8217;m happy to be running Perl and various Lingua::EN modules on this (nothing super-complicated in the switch, but all of my previous Perl tinkering was on a PC).  Today&#8217;s corpus was perhaps too small to yield many insights: just 2300 words across 10-12 email messages sent via WPA-L on Tuesday, August 24. All the same, insights or no, here the top five bigrams, with T-Units enumerated to the fourteenth decimal place, i.e., something like hundred-trillionth or quadrillionth position. Such precision is useful, I suppose, for avoiding ties.<\/p>\n<pre>Bi-grams (T-Score, count, bigram)\n2.22372310460229\t5\taudience awareness\t\n1.72376348313075\t3\twriting centers\t\n1.72376348313075\t3\twriting spaces\t\n1.41265204574184\t2\tdevelop new\t\n1.41109052911059\t2\tnew ways\t<\/pre>\n<p>It looks like &#8220;develop new ways&#8221; is part of a trigram that shows up twice in the corpus.  This script&#8211;a fine one, by the way&#8211;renders those three words into a 2&#215;2 bigram.  But that&#8217;s exactly what it was assigned to do.<\/p>\n","protected":false},"excerpt":{"rendered":"<p><span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">\u23f3 Approximate reading time: <\/span> <span class=\"rt-time\"> &lt; 1<\/span> <span class=\"rt-label rt-postfix\">min<\/span><\/span>In the few spare minutes I&#8217;ve had this week, I&#8217;ve been trying out n-grams as a comparable with other text-mining processes. This still fits squarely in the category of &#8220;a lot to learn,&#8221; but I&#8217;m happy to be running Perl and various Lingua::EN modules on this (nothing super-complicated in the switch, but all of my&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ngg_post_thumbnail":0,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[170],"tags":[2437,352,2438,2439,2440,576],"class_list":["post-7279","post","type-post","status-publish","format-standard","hentry","category-method","tag-mining","tag-perl","tag-phrase","tag-processing","tag-unit","tag-wpa"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>N-grams - Earth Wide Moth<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.earthwidemoth.com\/blog\/2010\/08\/25\/n-grams\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"N-grams - Earth Wide Moth\" \/>\n<meta property=\"og:description\" content=\"\u23f3 Approximate reading time:  &lt; 1 minIn the few spare minutes I&#8217;ve had this week, I&#8217;ve been trying out n-grams as a comparable with other text-mining processes. 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