{"id":7460,"date":"2016-03-21T10:15:19","date_gmt":"2016-03-21T14:15:19","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=7460"},"modified":"2016-03-21T10:01:55","modified_gmt":"2016-03-21T14:01:55","slug":"improving-word-clouds-as-tool-for-text-analytics-data-visualization","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/improving-word-clouds-as-tool-for-text-analytics-data-visualization\/7460\/","title":{"rendered":"Improving Word Clouds as Tool for Text Analytics Data Visualization"},"content":{"rendered":"Rich Lanza will present Using Letter Analytic Techniques to Pinpoint Textual Deviations at the Text Analytics World Conference, taking place June 21-22 in Chicago. For more information about the event and to register, click here. Use code PATIMES16 for 15 percent off of your registration. I feel that textual analytics always produces something interesting yet the tools being used can take too long or outright miss the subtleties in the data. Wordles, for example, provide a useful image of the words yet are not effective in identifying deviations over time or to expected language benchmarks. To supplement this <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/improving-word-clouds-as-tool-for-text-analytics-data-visualization\/7460\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Rich Lanza will present Using Letter Analytic Techniques to Pinpoint Textual Deviations at the Text Analytics World Conference, taking place June 21-22 in Chicago. For more information about the event and to register, click here. Use code PATIMES16 for 15 percent off of your registration. I feel that textual analytics always produces something interesting yet [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[3],"tags":[538,651,303,33],"class_list":["post-7460","post","type-post","status-publish","format-standard","hentry","category-leading-stories","tag-data-visualization","tag-letter-analytics","tag-text-analytics","tag-text-analytics-world"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7460","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=7460"}],"version-history":[{"count":9,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7460\/revisions"}],"predecessor-version":[{"id":7469,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7460\/revisions\/7469"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=7460"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=7460"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=7460"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}