{"id":1851,"date":"2007-10-30T18:01:40","date_gmt":"2007-10-30T23:01:40","guid":{"rendered":"http:\/\/www.theoreti.ca\/?p=1851"},"modified":"2007-10-30T18:04:37","modified_gmt":"2007-10-30T23:04:37","slug":"republican-debate-analyzing-the-details-the-new-york-times","status":"publish","type":"post","link":"https:\/\/theoreti.ca\/?p=1851","title":{"rendered":"Republican Debate: Analyzing the Details – The New York Times"},"content":{"rendered":"

\"Screen<\/a> The New York Times has created another neat text visualization, this time for the Republican Debate<\/a>. The visualization has two panels. One shows the video, a transcript, and sections. You can jump the video using the transcript or section outline. The other is a “Transcript Analyzer” where you can see a rich prospect of the debate divided by speeches and you can search for words. What is missing is some sort of overview of what the high frequency words are and how they collocate.<\/p>\n

So, I have created a public text for analysis in TAPoR<\/a> and here are some results. Here is a list of words that are high frequency generated using the List Words tool<\/a>. Some interesting words:<\/p>\n

People (76), Think (66), Know (48), Giuliani (42), <\/em>Clinton (33), <\/em>Reagan (13), <\/em>Democrats (16), Republicans (11)
\n<\/em><\/p>\n

Health (45), <\/em>Government (35), Security (35), Country (25), <\/em>Policy (16), Military (15), School (15),
\n<\/em><\/p>\n

Marriage (23), Insurance (23), Conservative (23), Private (22), Let (21), Gay (12)
\n<\/em><\/p>\n

Iraq (13), Iran (12), Turkey (7), Canada (2), Darn (2), Europe (5), <\/em><\/p>\n

Immigrants (5), Citizens (2)<\/em><\/p>\n

Man (7), Mean (7), Woman (4), Congressman (25)<\/em><\/p>\n

Answer (10), Problem (10), Solution (5)<\/em>, War (12)<\/em><\/p><\/blockquote>\n

<\/p>\n

Here is a visual collocation of Reagan.
\n<\/p>\n

<\/a><\/p>\n

\"Screen<\/a><\/div>\n
Here is a Weighted Centroid of the Top 50 Words. I have selected Mayor and President<\/div>\n
\"Screen<\/div>\n","protected":false},"excerpt":{"rendered":"

The New York Times has created another neat text visualization, this time for the Republican Debate. The visualization has two panels. One shows the video, a transcript, and sections. You can jump the video using the transcript or section outline. The other is a “Transcript Analyzer” where you can see a rich prospect of the … Continue reading Republican Debate: Analyzing the Details – The New York Times<\/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":[28,16,12],"tags":[],"class_list":["post-1851","post","type-post","status-publish","format-standard","hentry","category-online-publishing","category-text-analysis","category-visualization"],"_links":{"self":[{"href":"https:\/\/theoreti.ca\/index.php?rest_route=\/wp\/v2\/posts\/1851","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=1851"}],"version-history":[{"count":0,"href":"https:\/\/theoreti.ca\/index.php?rest_route=\/wp\/v2\/posts\/1851\/revisions"}],"wp:attachment":[{"href":"https:\/\/theoreti.ca\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1851"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/theoreti.ca\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1851"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/theoreti.ca\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1851"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}