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{"id":472,"date":"2018-10-21T03:23:35","date_gmt":"2018-10-21T03:23:35","guid":{"rendered":"https:\/\/blog.somkuti.catapult.bates.edu\/?p=20"},"modified":"2018-10-21T03:23:35","modified_gmt":"2018-10-21T03:23:35","slug":"text-analysis-and-visualization-2","status":"publish","type":"post","link":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/2018\/10\/21\/text-analysis-and-visualization-2\/","title":{"rendered":"TEXT ANALYSIS AND VISUALIZATION"},"content":{"rendered":"<p>Matthew Jocker and Ted Underwood&#8217;s paper\u00a0<em>Text Analysis and Visualization\u00a0<\/em>provides a useful introduction to the methods used when working with large quantities of text. The problem proposed is simple. We live in a world with seemingly endless information; how can we eliminate the fluff and get what we want? One can analyze a corpus (body of text(s)) to search for the ubiquity of a single word, or even a pattern of characters. These results can reveal similarities and\/or correlations within the corpus that can be useful when researching and annotating works. One could even create a new text solely based upon the analysis. This allows for powerful visualization, resulting in artistic and insightful interpretations of data. Text analysis and visualization is a powerful supplementary research tool that should not be overlooked.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Matthew Jocker and Ted Underwood&rsquo;s paper&nbsp;Text Analysis and Visualization&nbsp;provides a useful introduction to the methods used when working with large quantities of text. The problem proposed is simple. We live in a world with seemingly endless information; how can we eliminate the fluff and get what we want? One can analyze a corpus (body of &hellip; <\/p>\n<p><a href=\"https:\/\/blog.somkuti.catapult.bates.edu\/uncategorized\/text-analysis-and-visualization\/\">Continue reading<span> &#8220;TEXT ANALYSIS AND VISUALIZATION&#8221;<\/span><\/a><\/p>\n","protected":false},"author":187,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-472","post","type-post","status-publish","format-standard","hentry","category-class"],"_links":{"self":[{"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/posts\/472","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/users\/187"}],"replies":[{"embeddable":true,"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/comments?post=472"}],"version-history":[{"count":3,"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/posts\/472\/revisions"}],"predecessor-version":[{"id":1515,"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/posts\/472\/revisions\/1515"}],"wp:attachment":[{"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/media?parent=472"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/categories?post=472"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/tags?post=472"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}