{"id":7018,"date":"2019-01-31T20:57:18","date_gmt":"2019-01-31T20:57:18","guid":{"rendered":"http:\/\/theoreti.ca\/?p=7018"},"modified":"2019-01-31T20:57:18","modified_gmt":"2019-01-31T20:57:18","slug":"word2vec-vis-of-pride-and-prejudice","status":"publish","type":"post","link":"https:\/\/theoreti.ca\/?p=7018","title":{"rendered":"Word2Vec Vis of Pride and Prejudice"},"content":{"rendered":"<p><a href=\"http:\/\/theoreti.ca\/wp-content\/uploads\/2019\/01\/word2vec.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-7019\" src=\"http:\/\/theoreti.ca\/wp-content\/uploads\/2019\/01\/word2vec-300x290-1.png\" alt=\"\" width=\"300\" height=\"290\" \/><\/a><\/p>\n<p>Paolo showed me a neat demonstration of\u00a0<em><a href=\"http:\/\/www.ghostweather.com\/files\/word2vecpride\/\">Word2Vec Vis of Pride and Prejudice<\/a>.\u00a0<\/em>Lynn Cherny trained a Word2Vec model using Jane Austen&#8217;s novels and then used that to find close matches for key words. She then show the text of a novel with the words replaced by their match in the language of Austen. It serves as a sort of demonstration of how Word2Vec works.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Paolo showed me a neat demonstration of\u00a0Word2Vec Vis of Pride and Prejudice.\u00a0Lynn Cherny trained a Word2Vec model using Jane Austen&#8217;s novels and then used that to find close matches for key words. She then show the text of a novel with the words replaced by their match in the language of Austen. It serves as &hellip; <a href=\"https:\/\/theoreti.ca\/?p=7018\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Word2Vec Vis of Pride and Prejudice<\/span><\/a><\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17,42,9,16],"tags":[],"class_list":["post-7018","post","type-post","status-publish","format-standard","hentry","category-humanities-computing","category-interactives","category-literature","category-text-analysis"],"_links":{"self":[{"href":"https:\/\/theoreti.ca\/index.php?rest_route=\/wp\/v2\/posts\/7018","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\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/theoreti.ca\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=7018"}],"version-history":[{"count":1,"href":"https:\/\/theoreti.ca\/index.php?rest_route=\/wp\/v2\/posts\/7018\/revisions"}],"predecessor-version":[{"id":7021,"href":"https:\/\/theoreti.ca\/index.php?rest_route=\/wp\/v2\/posts\/7018\/revisions\/7021"}],"wp:attachment":[{"href":"https:\/\/theoreti.ca\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7018"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/theoreti.ca\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=7018"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/theoreti.ca\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=7018"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}