{"id":6778,"date":"2015-11-22T10:00:25","date_gmt":"2015-11-22T15:00:25","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=6778"},"modified":"2015-11-23T09:22:11","modified_gmt":"2015-11-23T14:22:11","slug":"text-analytics-gurus-debunk-four-big-data-myths","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/text-analytics-gurus-debunk-four-big-data-myths\/6778\/","title":{"rendered":"Text Analytics Gurus Debunk Four Big Data Myths"},"content":{"rendered":"Could text analytics be the unsung hero of big data? Text analytics mines reams of often ephemeral, unstructured data \u2014 from a voice recording of a customer call to emails or a Tweet \u2014 for meaningful insights that can inform business decisions, be it a branding strategy or a product launch. And while retailers have hailed big data as the key to everything from delivering shoppers personalized merchandise offers to real-time metrics on product performance, the industry is mostly scratching its head on how to monetize all the data that\u2019s being generated in the digital era. One point <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/text-analytics-gurus-debunk-four-big-data-myths\/6778\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Could text analytics be the unsung hero of big data? Text analytics mines reams of often ephemeral, unstructured data \u2014 from a voice recording of a customer call to emails or a Tweet \u2014 for meaningful insights that can inform business decisions, be it a branding strategy or a product launch. And while retailers have [&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":[11,48],"tags":[42,303],"class_list":["post-6778","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-big-data","tag-text-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6778","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=6778"}],"version-history":[{"count":3,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6778\/revisions"}],"predecessor-version":[{"id":6781,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/6778\/revisions\/6781"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=6778"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=6778"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=6778"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}