{"id":7117,"date":"2007-12-12T11:20:38","date_gmt":"2007-12-12T11:20:38","guid":{"rendered":"http:\/\/www.earthwidemoth.com\/blog\/2007\/12\/12\/address-keyword\/"},"modified":"2007-12-12T11:20:38","modified_gmt":"2007-12-12T11:20:38","slug":"address-keyword","status":"publish","type":"post","link":"https:\/\/www.earthwidemoth.com\/blog\/2007\/12\/12\/address-keyword\/","title":{"rendered":"Address Keywords"},"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\"> 2<\/span> <span class=\"rt-label rt-postfix\">mins<\/span><\/span><p>How best to arrive at keywords (before they are tags)? One humorless punchline is that I will not soon have a degree in computational linguistics.  I have dealt<br \/>\nsuperficially with the question this week, first by thinking about the relationship<br \/>\nof the terms assigned by various methods&#8211;where we have keywords at all, that<br \/>\nis. The most prominent journals in composition studies do very little with<br \/>\nkeywords, much less with tags (here I am thinking of tags as the digital<br \/>\niteration of keywords that includes latent, descriptive, and procedural<br \/>\nlabeling). Why is that?<\/p>\n<p><!--more--><\/p>\n<p>The table below grew first from parallel questions about the overlaps between Mehta&#8217;s<br \/>\nchronological approach to tag clouds (with hues that explain persistence) and Marlow&#8217;s process, which remains important because it can return multi-term noun phrases rather than only<br \/>\none-word keywords (also because Marlow&#8217;s is the one we use for <em>CCCOA<\/em>). As of yet and because I am short on space, I do very little to account for TagCrowd and ManyEyes:<br \/>\nTagCrowd because I too quickly hit the memory ceiling with the files I am<br \/>\nworking from; ManyEyes because there are copyright concerns with uploading full<br \/>\ntexts of articles that belong properly to NCTE. Anyway, I will return to ManyEyes in chapter four.<\/p>\n<p>Below I have boldfaced common terms across the three keywording methods. The<br \/>\nsecond two columns apply duplicable computational methods of great relevance to the diss.<br \/>\nStill, they are not perfect matches. Is this a flaw? I think of it<br \/>\ninstead as a sign of life&#8211;a slight rattle in the imperfectly fitting (and therefore thought-provoking) works.<\/p>\n<table border=\"1\" width=\"700\" id=\"table2\" cellspacing=\"0\">\n<tr>\n<td width=\"100\" align=\"center\"><font size=\"2\">Address\/Script<\/font><\/td>\n<td width=\"200\" align=\"center\"><font size=\"2\">CompPile<br \/>\n\t\tDetermined upon data input (it is not clear whether these are assigned<br \/>\n\t\tby one person or whether, if they are handled by different people, there<br \/>\n\t\tis any shared effort at reconciling them)<\/font><\/td>\n<td width=\"200\" align=\"center\"><font size=\"2\">Mehta&#8217;s PHP Script, Top 10<br \/>\n\t\tUses exclude file and PHP Stemmer<\/font><\/td>\n<td width=\"200\" align=\"center\"><font size=\"2\">Marlow&#8217;s Perl Process, Top<br \/>\n\t\t10<br \/>\n\t\tUses EN::Lingua::Tagger; nouns and noun phrases only<\/font><\/td>\n<\/tr>\n<tr>\n<td width=\"100\"><span style=\"font-size:8.0pt\">1999, Villanueva<\/span><\/td>\n<td width=\"200\" valign=\"top\"><b><span style=\"font-size:8.0pt\">racism<\/span><\/b><span style=\"font-size:8.0pt\">,<br \/>\n\t\tprofession, Latin-Am, history, pre-conquest, Aztec<\/span><\/td>\n<td width=\"200\" valign=\"top\"><span style=\"font-size:8.0pt\">American, colonial,<br \/>\n\t\t<b>color<\/b>, <b>ethnicity<\/b>, Europe, group, <b>latinos<\/b>, <b><br \/>\n\t\tnumbers<\/b>, <b>people<\/b>, <b>racism<\/b><\/span><\/td>\n<td width=\"200\" valign=\"top\"><b><span style=\"font-size:8.0pt\">color<\/span><\/b><span style=\"font-size:8.0pt\"><br \/>\n\t\t(30), <b>racism (23)<\/b>, <b>people<\/b> (20), america (11), <b>latinos<\/b><br \/>\n\t\t(11), peru (11), <b>ethnicity<\/b> (10), france (10), gods (10), <b><br \/>\n\t\tnumbers<\/b> (10)<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"100\"><span style=\"font-size:8.0pt\">2000, Gilyard<\/span><\/td>\n<td width=\"200\" valign=\"top\"><span style=\"font-size:8.0pt\">cross-cultural,<br \/>\n\t\tliteracy, <b>identity<\/b>, critical-pedagogy, social justice,<br \/>\n\t\tlearning-theory, language, teacher-student, imagination, flight<\/span><\/td>\n<td width=\"200\" valign=\"top\"><span style=\"font-size:8.0pt\">dance, <b>Gilyard<\/b>,<br \/>\n\t\t<b>identity<\/b>, mean, play, social, <b>students<\/b>, <b>tao<\/b>, <b><br \/>\n\t\ttime<\/b>, work<\/span><\/td>\n<td width=\"200\" valign=\"top\"><b><span style=\"font-size:8.0pt\">tao<\/span><\/b><span style=\"font-size:8.0pt\"><br \/>\n\t\t(18), <b>time<\/b> (15), <b>gilyard<\/b> (13), king (13), <b>students<\/b><br \/>\n\t\t(10), brown (9), cannon (9), money (9), discourse (8), dunbar (8)<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"100\"><span style=\"font-size:8.0pt\">2001, Bishop<\/span><\/td>\n<td width=\"200\" valign=\"top\"><span style=\"font-size:8.0pt\">profession, &#8216;Chair&#8217;s<br \/>\n\t\tAddress&#8217;, fatigue, renewal<\/span><\/td>\n<td width=\"200\" valign=\"top\"><b><span style=\"font-size:8.0pt\">composition<\/span><\/b><span style=\"font-size:8.0pt\">,<br \/>\n\t\t<b>convention<\/b>, <b>field<\/b>, <b>poem<\/b>, space, <b>teachers<\/b>, <b><br \/>\n\t\tteaching<\/b>, <b>time<\/b>, work, years<\/span><\/td>\n<td width=\"200\" valign=\"top\"><b><span style=\"font-size:8.0pt\">convention<\/span><\/b><span style=\"font-size:8.0pt\"><br \/>\n\t\t(19), <b>poem<\/b> (16), <b>composition<\/b> (14), <b>teaching<\/b> (11),<br \/>\n\t\t<b>time<\/b> (11), members (10), my (10), <b>teachers<\/b> (10), <b>field<\/b><br \/>\n\t\t(9), rhetoric (9)<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"100\"><span style=\"font-size:8.0pt\">2002, Lovas<\/span><\/td>\n<td width=\"200\" valign=\"top\"><span style=\"font-size:8.0pt\">professional, <b><br \/>\n\t\tfaculty<\/b>-status, CCCC, Conference on College Composition and<br \/>\n\t\tCommunication, professional identity, literacy autobiography, equity,<br \/>\n\t\tassignment, curriculum, <b>community<\/b> <b>college<\/b><\/span><\/td>\n<td width=\"200\" valign=\"top\"><b><span style=\"font-size:8.0pt\">college<\/span><\/b><span style=\"font-size:8.0pt\">,<br \/>\n\t\t<b>community<\/b>, <b>faculty<\/b>, program, <b>students<\/b>, <b>teaching<\/b>,<br \/>\n\t\t<b>university<\/b>, <b>work<\/b>, <b>writing<\/b>, years<\/span><\/td>\n<td width=\"200\" valign=\"top\"><b><span style=\"font-size:8.0pt\">writing<\/span><\/b><span style=\"font-size:8.0pt\"><br \/>\n\t\t(33), <b>college<\/b> (31), <b>students<\/b> (25), <b>colleges<\/b> (24),<br \/>\n\t\t<b>faculty<\/b> (20), <b>community<\/b> (18), <b>work<\/b> (15), <b><br \/>\n\t\tteaching<\/b> (14), <b>university<\/b> (14), composition (12)<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"100\"><span style=\"font-size:8.0pt\">2003, Logan<\/span><\/td>\n<td width=\"200\" valign=\"top\"><span style=\"font-size:8.0pt;\"><br \/>\n\t\tpractice, classroom, language-rights, African-Am, women, mission,<br \/>\n\t\tChair&#8217;s Address,<\/span><\/td>\n<td width=\"200\" valign=\"top\"><b><span style=\"font-size:8.0pt\">composition<\/span><\/b><span style=\"font-size:8.0pt\">,<br \/>\n\t\tdifference, English, <b>language<\/b>, learning, rights, <b>statement<\/b>,<br \/>\n\t\t<b>students<\/b>, <b>teaching<\/b>, writing<\/span><\/td>\n<td width=\"200\" valign=\"top\"><b><span style=\"font-size:8.0pt\">Students<\/span><\/b><span style=\"font-size:8.0pt\"><br \/>\n\t\t(28), <b>composition<\/b> (19), <b>language<\/b> (19), writing (18), <b><br \/>\n\t\tstatement<\/b> (17), CCCC (16), <b>teaching<\/b> (16), teachers (11),<br \/>\n\t\tposition (10), conditions (9)<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"100\"><span style=\"font-size:8.0pt\">2004, Yancey<\/span><\/td>\n<td width=\"200\" valign=\"top\"><span style=\"font-size:8.0pt\">Chair&#8217;s Address, <b><br \/>\n\t\tliteracy<\/b>, change, profession, faculty status, practice, pedagogy,<br \/>\n\t\thistory, curriculum, media, <b>technology<\/b>, <b>circulation<\/b>,<br \/>\n\t\tproduction, academic-public, academic-nonacademic<\/span><\/td>\n<td width=\"200\" valign=\"top\"><b><span style=\"font-size:8.0pt\">composition<\/span><\/b><span style=\"font-size:8.0pt\">,<br \/>\n\t\t<b>literacy<\/b>, public, reading, <b>school<\/b>, <b>students<\/b>, <b><br \/>\n\t\ttechnology<\/b>, <b>text<\/b>, <b>words<\/b>, <b>writing<\/b><\/span><\/td>\n<td width=\"200\" valign=\"top\"><b><span style=\"font-size:8.0pt\">students<\/span><\/b><span style=\"font-size:8.0pt\"><br \/>\n\t\t(60), <b>composition<\/b> (57), <b>writing<\/b> (55), <b>literacy<\/b><br \/>\n\t\t(32), <b>text<\/b> (31), <b>school<\/b> (29), <b>circulation<\/b> (25), <b><br \/>\n\t\twords<\/b> (25), moment (23), <b>technology<\/b> (22)<\/span><\/td>\n<\/tr>\n<\/table>\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\"> 2<\/span> <span class=\"rt-label rt-postfix\">mins<\/span><\/span>How best to arrive at keywords (before they are tags)? One humorless punchline is that I will not soon have a degree in computational linguistics. I have dealt superficially with the question this week, first by thinking about the relationship of the terms assigned by various methods&#8211;where we have keywords at all, that is. The&#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":[69],"tags":[1264,637,1870,1871,423,562,144,352,1872,1873,1874,1875,1876,1877,664,1878,427],"class_list":["post-7117","post","type-post","status-publish","format-standard","hentry","category-dissertation","tag-address","tag-clouds","tag-comparison","tag-comppile","tag-database","tag-keywords","tag-methods","tag-perl","tag-php","tag-relational","tag-sample","tag-static","tag-stemmer","tag-table","tag-tagging","tag-tagline","tag-tags"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Address Keywords - 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\/2007\/12\/12\/address-keyword\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Address Keywords - Earth Wide Moth\" \/>\n<meta property=\"og:description\" content=\"\u23f3 Approximate reading time:  2 minsHow best to arrive at keywords (before they are tags)? 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