{"id":5395,"date":"2015-05-19T13:10:37","date_gmt":"2015-05-19T13:10:37","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=5395"},"modified":"2015-05-19T13:11:39","modified_gmt":"2015-05-19T13:11:39","slug":"5-tools-and-techniques-for-text-analytics-0519152","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/5-tools-and-techniques-for-text-analytics-0519152\/5395\/","title":{"rendered":"5 Tools and Techniques for Text Analytics"},"content":{"rendered":"Data mining expert lays out some useful tools and techniques from sentiment analysis to topic modeling and natural language processing There\u2019s a proliferation of unstructured data on the Internet and coming into customer call centres. But manually going through the haystack to find the needle is an insurmountable, unrealistic task to complete. Speaking at the recent Big Data TechCon event in Boston, data mining expert, Dan Sullivan from Cambia Health Solutions, discussed several tools and techniques to get you started on effectively mining text data and extracting the rich insights it can bring. 1. Sentiment analysis Analysing the <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/5-tools-and-techniques-for-text-analytics-0519152\/5395\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Data mining expert lays out some useful tools and techniques from sentiment analysis to topic modeling and natural language processing There\u2019s a proliferation of unstructured data on the Internet and coming into customer call centres. But manually going through the haystack to find the needle is an insurmountable, unrealistic task to complete. Speaking at the [&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":[303,33],"class_list":["post-5395","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-text-analytics","tag-text-analytics-world"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5395","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=5395"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5395\/revisions"}],"predecessor-version":[{"id":5397,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5395\/revisions\/5397"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=5395"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=5395"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=5395"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}