{"id":772,"date":"2019-11-11T06:23:42","date_gmt":"2019-11-11T06:23:42","guid":{"rendered":"http:\/\/guires.uk\/newsroom\/?p=772"},"modified":"2019-11-27T12:12:08","modified_gmt":"2019-11-27T12:12:08","slug":"sentiment-analysis-for-capturing-patient-experience","status":"publish","type":"post","link":"https:\/\/guires.uk\/newsroom\/blog\/sentiment-analysis-for-capturing-patient-experience\/","title":{"rendered":"Sentiment analysis for capturing Patient Experience"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Sentiment Analysis is the computational study of opinions, sentiments, and emotions expressed in the text. The aim\nof sentiment analysis is to detect subjective information contained in various\nsources and determine the mindset of an author towards an issue or the\noverall disposition of a document. Subjectivity\nas the verbal expression of somebody\u2018s opinions, evaluations, sentiments,\nemotions, beliefs, and speculations. The words opinion, sentiment, view and\nbelief are used interchangeably, but there are subtle differences between them (Kumar &amp; Sebastian, 2012).<strong><\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Opinion: A conclusion thought out yet open to dispute (\u2015each expert seemed to have a different opinion).<\/li><li>View: subjective opinion <\/li><li>Belief: deliberate acceptance and intellectual assent <\/li><li>Sentiment: opinion reflective of one\u2018s feelings <\/li><\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">The sentiment analysis is done\non user-generated content through the web that contains the views or sentimentor\nopinions. The opinionated document can be a forum post, product review, a blog\nor tweet; that evaluates an object. Thus, the opinions indicated can be about\nanything or anybody, for example issues, products, people, organization or\nservices.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Liu (2010) precisely represented an opinion as a quintuple (o, f, so, h, t), where o- object; f &#8211; a feature of the object; so &#8211; orientation\/polarity of the opinion on feature f of object o; h &#8211; opinion holder; t \u2013 time. Here the object is an entity that can be a person or product.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Object: <\/strong>An entity which can be a product, organization\/topic, person,\nevent, The object can have attributes, features or components associated with\nit. Further, the components can have subcomponents and attributes<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Feature:<\/strong> An attribute (or a part) of the object with respect to which\nevaluation is made.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&nbsp;<strong>Opinion orientation or polarity:<\/strong> The orientation of an opinion on a feature f indicates whether the opinion is positive, negative or neutral. Most work has been done on binary classification, i.e. into positive or negative. But opinions can vary in intensity from very strong to weak (Wilson et al., 2004). For example, positive sentiment can range from content to happy to ecstatic. Thus, the strength of opinion can be scaled and depending on the application the number of levels can be decided.<a> <\/a>The holder of opinion is the person or organization that expresses the opinion.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Use of sentiment analysis for capturing the\npatient experience <\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Use machine learning to understanding patient\u2019s unstructured comments about their care and categorized as either positive or negative description of their healthcare. Our ML technique would predict <ul><li>whether the hospital was clean, <\/li><\/ul><ul><li>Whether patients were treated with dignity or they would recommend a hospital <\/li><\/ul><ul><li>Sentiment towards drug-related tweets (effective, ineffective, serious adverse effects)<\/li><\/ul><ul><li>Tobacco, <\/li><\/ul><ul><li>Their treatments <\/li><\/ul><ul><li>and pain <\/li><\/ul><ul><li>medical Problem (exists, recover, deteriorate) <\/li><\/ul><\/li><\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">\n\nCapture data from (1) Healthcare Tweets (2) From Free-Text Comments (3) Blogs (4) FaceBook (5) and many more\n\n<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"> Our data science applies several combinations of techniques based on the accuracy such as na\u00efve Bayes multinominal (NBM), decision tree, bagging or support vector machines (SVM), rule-based AFNN, SentiStrength, TwitteR R package + Jeffery Breen\u2019s Sentiment analysis code, radian6, TheySay, Topsypro.  <\/p>\n\n\n\n<p class=\"pcontact wp-block-paragraph\">Contact us for more information about how we can help you to develop CER report.  <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Sentiment Analysis is the computational study of opinions, sentiments, and emotions expressed in the text. The aim of sentiment analysis is to detect subjective information contained in various sources and determine the mindset of an author towards an issue or the overall disposition of a document. Subjectivity as the verbal expression of somebody\u2018s opinions, evaluations, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":927,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[53],"tags":[],"class_list":["post-772","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"_links":{"self":[{"href":"https:\/\/guires.uk\/newsroom\/wp-json\/wp\/v2\/posts\/772","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/guires.uk\/newsroom\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/guires.uk\/newsroom\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/guires.uk\/newsroom\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/guires.uk\/newsroom\/wp-json\/wp\/v2\/comments?post=772"}],"version-history":[{"count":6,"href":"https:\/\/guires.uk\/newsroom\/wp-json\/wp\/v2\/posts\/772\/revisions"}],"predecessor-version":[{"id":903,"href":"https:\/\/guires.uk\/newsroom\/wp-json\/wp\/v2\/posts\/772\/revisions\/903"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/guires.uk\/newsroom\/wp-json\/wp\/v2\/media\/927"}],"wp:attachment":[{"href":"https:\/\/guires.uk\/newsroom\/wp-json\/wp\/v2\/media?parent=772"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/guires.uk\/newsroom\/wp-json\/wp\/v2\/categories?post=772"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/guires.uk\/newsroom\/wp-json\/wp\/v2\/tags?post=772"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}