{"id":6475,"date":"2015-09-13T10:00:14","date_gmt":"2015-09-13T14:00:14","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=6475"},"modified":"2015-09-10T11:48:25","modified_gmt":"2015-09-10T15:48:25","slug":"text-analytics-big-data-and-law","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/text-analytics-big-data-and-law\/6475\/","title":{"rendered":"Text Analytics, Big Data and Law"},"content":{"rendered":"Big Data and text analytics are all the rage in the field of law today. However, there is a dearth of precise definitions of these technologies and of the understanding of what they do. This is the void that the present article will try to fill. Text analytics \u2013 number-based Firstly, there is numbers-based text analytics. Say, I\u2019m looking for documents about patents. Looking at each document in my set, I can count how many times the word \u201cpatent\u201d occurs within them, if at all. The more the merrier: Documents that contain the word \u201cpatent\u201d more often are <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/text-analytics-big-data-and-law\/6475\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Big Data and text analytics are all the rage in the field of law today. However, there is a dearth of precise definitions of these technologies and of the understanding of what they do. This is the void that the present article will try to fill. Text analytics \u2013 number-based Firstly, there is numbers-based text [&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":[11],"tags":[42,8,303],"class_list":["post-6475","post","type-post","status-publish","format-standard","hentry","category-industry-news","tag-big-data","tag-predictive-analytics","tag-text-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6475","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=6475"}],"version-history":[{"count":3,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6475\/revisions"}],"predecessor-version":[{"id":6478,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6475\/revisions\/6478"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=6475"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=6475"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=6475"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}