{"id":4180,"date":"2012-01-17T15:28:32","date_gmt":"2012-01-17T20:28:32","guid":{"rendered":"http:\/\/www.theoreti.ca\/?p=4180"},"modified":"2012-01-17T18:09:01","modified_gmt":"2012-01-17T23:09:01","slug":"wordseer","status":"publish","type":"post","link":"https:\/\/theoreti.ca\/?p=4180","title":{"rendered":"WordSeer"},"content":{"rendered":"<p style=\"text-align: center;\"><a href=\"http:\/\/www.eecs.berkeley.edu\/%7Eaditi\/projects\/wordseer.html\"><img decoding=\"async\" src=\"http:\/\/www.eecs.berkeley.edu\/%7Eaditi\/projects\/wordseer.png\" alt=\"\" align=\"center\" \/><\/a><\/p>\n<p>St\u00e9fan pointed me to Berkley <a href=\"http:\/\/www.eecs.berkeley.edu\/%7Eaditi\/projects\/wordseer.html\">WordSeer<\/a> a text analysis tool &#8220;that includes visualizations and works on the grammatical structure of text.&#8221; You can watch the video with Aditi Muralidharan talking about the project. She sees the problem with traditional search being the way keyword reading models texts as a bag of words. What we can&#8217;t do is model text as sentences. In other words she wants to leverage natural language processing to enhance search so you can see how &#8220;God&#8221; is described or what she\/he has done. There are also some visualization tools like a heat map and word tree.<\/p>\n<p>There is a nice <a href=\"http:\/\/www.youtube.com\/watch?v=OXkuOzl9GrI\">YouTube video demoing<\/a> how to use WordSeer to explore &#8220;beautiful&#8221; in Shakespeare.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>St\u00e9fan pointed me to Berkley WordSeer a text analysis tool &#8220;that includes visualizations and works on the grammatical structure of text.&#8221; You can watch the video with Aditi Muralidharan talking about the project. She sees the problem with traditional search being the way keyword reading models texts as a bag of words. What we can&#8217;t &hellip; <a href=\"https:\/\/theoreti.ca\/?p=4180\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">WordSeer<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16,12],"tags":[],"class_list":["post-4180","post","type-post","status-publish","format-standard","hentry","category-text-analysis","category-visualization"],"_links":{"self":[{"href":"https:\/\/theoreti.ca\/index.php?rest_route=\/wp\/v2\/posts\/4180","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/theoreti.ca\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/theoreti.ca\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/theoreti.ca\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/theoreti.ca\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4180"}],"version-history":[{"count":3,"href":"https:\/\/theoreti.ca\/index.php?rest_route=\/wp\/v2\/posts\/4180\/revisions"}],"predecessor-version":[{"id":4182,"href":"https:\/\/theoreti.ca\/index.php?rest_route=\/wp\/v2\/posts\/4180\/revisions\/4182"}],"wp:attachment":[{"href":"https:\/\/theoreti.ca\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4180"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/theoreti.ca\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4180"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/theoreti.ca\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4180"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}