{"id":9646,"date":"2022-06-30T07:08:54","date_gmt":"2022-06-30T07:08:54","guid":{"rendered":"https:\/\/helper.divominer.com\/hkbucomm\/blog\/docs\/divominer-user-manual\/data-exploration\/favorability\/"},"modified":"2022-07-07T09:46:02","modified_gmt":"2022-07-07T09:46:02","slug":"favorability","status":"publish","type":"docs","link":"https:\/\/helper.divominer.com\/hkbucomm\/blog\/docs\/divominer-user-manual\/data-exploration\/favorability\/","title":{"rendered":"Favorability"},"content":{"rendered":"\n<p>Determined by AI automatic sentiment analysis algorithm, classify the post\/article into positive, neutral and negative, according to their textual content on daily basis. Sentiment Analysis is an algorithm model built on the basis of mainstream algorithms, combining machine learning, online thesaurus matching models and our 10+ years accumulated experience in content analysis. [Emotional Tendency] is divided into three types: positive, neutral and negative. Charts can be selected as stacked charts or line charts.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"523\" src=\"https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/8-1024x523.png\" alt=\"\" class=\"wp-image-9669\" srcset=\"https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/8-1024x523.png 1024w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/8-300x153.png 300w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/8-768x392.png 768w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/8-50x26.png 50w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/8-920x470.png 920w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/8-600x307.png 600w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/8-320x164.png 320w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/8.png 1041w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n","protected":false},"featured_media":0,"parent":617,"menu_order":2,"comment_status":"open","ping_status":"closed","template":"","doc_tag":[],"_links":{"self":[{"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs\/9646"}],"collection":[{"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs"}],"about":[{"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/types\/docs"}],"replies":[{"embeddable":true,"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/comments?post=9646"}],"version-history":[{"count":2,"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs\/9646\/revisions"}],"predecessor-version":[{"id":9945,"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs\/9646\/revisions\/9945"}],"up":[{"embeddable":true,"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs\/617"}],"next":[{"title":"Word Cloud","link":"https:\/\/helper.divominer.com\/hkbucomm\/blog\/docs\/divominer-user-manual\/data-exploration\/word-cloud\/","href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs\/9647"}],"prev":[{"title":"Communication Path","link":"https:\/\/helper.divominer.com\/hkbucomm\/blog\/docs\/divominer-user-manual\/data-exploration\/communication-path\/","href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs\/9645"}],"wp:attachment":[{"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/media?parent=9646"}],"wp:term":[{"taxonomy":"doc_tag","embeddable":true,"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/doc_tag?post=9646"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}