{"id":12999,"date":"2021-04-23T19:31:35","date_gmt":"2021-04-23T23:31:35","guid":{"rendered":"https:\/\/vernai.com\/?page_id=12999"},"modified":"2022-12-29T21:19:54","modified_gmt":"2022-12-29T21:19:54","slug":"documentation","status":"publish","type":"page","link":"https:\/\/host.tucknologies.com\/~v3rn4dm1n\/documentation\/","title":{"rendered":"Documentation"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"12999\" class=\"elementor elementor-12999\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4504fd3d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4504fd3d\" data-element_type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-22d88e92\" data-id=\"22d88e92\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-57839d68 elementor-widget elementor-widget-text-editor\" data-id=\"57839d68\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.9.2 - 21-12-2022 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#818a91;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#818a91;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<div class=\"fw-column col-xs-12 col-12\"><h3 class=\"special-heading text-left \"><span class=\"normal-letter-spacing\"><br \/>Documentation Guide for VERN <\/span><\/h3><div class=\"fw-divider-space divider-30\">\u00a0<\/div><div class=\"text-wrap \"><p>VERN provides emotional analysis for textual information and can be accessed via our API.\u00a0 <a href=\"https:\/\/host.tucknologies.com\/~v3rn4dm1n\/wp-content\/uploads\/2021\/07\/Model-Description-VERN-AI-Emotion-Analysis.pdf\">Click here<\/a> to view the detailed model description.<\/p><\/div><div class=\"fw-divider-space divider-30\">\u00a0<\/div><h4 class=\"special-heading text-left \"><i class=\"fa fa-lock\"><\/i> <span class=\"robotofont normal-letter-spacing\"><br \/>Authentication <\/span><\/h4><div class=\"fw-divider-space divider-30\">\u00a0<\/div><div class=\"text-wrap \"><div class=\"row\"><div class=\"col-sm\"><p>VERN uses API keys to authenticate requests.\u00a0 You can view your API in the VERN Dashboard once you have created an account.<\/p><p>All requests made to the API must hold an \u201cAuthorization\u201d header.\u00a0 Failure to include this information with cause the request to fail.<\/p><pre><code>Header: {\n    'Authorization': 'XXXXX:XXXXXXXXXXX'\n}\n<\/code><\/pre><\/div><\/div><\/div><div class=\"fw-divider-space divider-30\">\u00a0<\/div><h4 class=\"special-heading text-left \"><span class=\"robotofont normal-letter-spacing\"><br \/>Endpoints <\/span><\/h4><div class=\"fw-divider-space divider-30\">\u00a0<\/div><h5 class=\"special-heading text-left \"><i class=\"fa fa-angle-right\"><\/i> <span class=\"robotofont normal-letter-spacing\"><br \/>POST &#8212; https:\/\/vernapi.com\/analyze\/ <\/span><\/h5><div class=\"fw-divider-space divider-30\">\u00a0<\/div><div class=\"text-wrap \"><p>Retrieve an analysis on a textual message<\/p><p><strong>Parameters<\/strong><\/p><ul><li><strong>text<\/strong> (required)<\/li><\/ul><p>Text you would like to analyze.<\/p><p><strong>Location<\/strong>: Form Data | <strong>Data Type<\/strong>: String<\/p><pre><code>Body: {\n\ttext: \"Sample message\"\n}<\/code><\/pre><\/div><div class=\"fw-divider-space divider-30\">\u00a0<\/div><h5 class=\"special-heading text-left \"><i class=\"fa fa-code\"><\/i> <span class=\"robotofont normal-letter-spacing\"><br \/>Coding Samples <\/span><\/h5><div class=\"fw-divider-space divider-30\">\u00a0<\/div><div class=\"bootstrap-tabs small-tabs\"><ul class=\"nav nav-tabs\" role=\"tablist\"><li class=\"nav-item\"><a id=\"tab_link-9fb6f7456cbac8c3f5d587aab3abb8ad-0\" class=\"nav-link active\" role=\"tab\" href=\"#tab-9fb6f7456cbac8c3f5d587aab3abb8ad-0\" data-toggle=\"tab\"><br \/>cURL <\/a><\/li><li class=\"nav-item\"><a id=\"tab_link-9fb6f7456cbac8c3f5d587aab3abb8ad-1\" class=\"nav-link\" role=\"tab\" href=\"#tab-9fb6f7456cbac8c3f5d587aab3abb8ad-1\" data-toggle=\"tab\"><br \/>Javascript &#8211; Fetch <\/a><\/li><li class=\"nav-item\"><a id=\"tab_link-9fb6f7456cbac8c3f5d587aab3abb8ad-2\" class=\"nav-link\" role=\"tab\" href=\"#tab-9fb6f7456cbac8c3f5d587aab3abb8ad-2\" data-toggle=\"tab\"><br \/>PHP <\/a><\/li><\/ul><div class=\"tab-content\"><div id=\"tab-9fb6f7456cbac8c3f5d587aab3abb8ad-0\" class=\"tab-pane fade show active\" role=\"tabpanel\" aria-labelledby=\"tab_link-9fb6f7456cbac8c3f5d587aab3abb8ad-0\"><pre><code>curl --location --request POST 'https:\/\/vernapi.com\/analyze' \n--header 'Authorization: XXXXX:XXXXXXXXXXX' \n--form 'text=\"Sample message\"'\n<\/code><\/pre><\/div><p><!-- .eof tab-pane --><\/p><div id=\"tab-9fb6f7456cbac8c3f5d587aab3abb8ad-1\" class=\"tab-pane fade \" role=\"tabpanel\" aria-labelledby=\"tab_link-9fb6f7456cbac8c3f5d587aab3abb8ad-1\"><pre><code>var myHeaders = new Headers();\nmyHeaders.append(\"Authorization\", \"XXXXX:XXXXXXXXXXX\");\n\nvar formdata = new FormData();\nformdata.append(\"text\", \"Sample message\");\n\nvar requestOptions = {\n  method: 'POST',\n  headers: myHeaders,\n  body: formdata,\n  redirect: 'follow'\n};\n\nfetch(\"https:\/\/vernapi.com\/analyze\", requestOptions)\n  .then(response =&gt; response.text())\n  .then(result =&gt; console.log(result))\n  .catch(error =&gt; console.log('error', error));\n<\/code><\/pre><\/div><p><!-- .eof tab-pane --><\/p><div id=\"tab-9fb6f7456cbac8c3f5d587aab3abb8ad-2\" class=\"tab-pane fade \" role=\"tabpanel\" aria-labelledby=\"tab_link-9fb6f7456cbac8c3f5d587aab3abb8ad-2\"><pre><code> 'https:\/\/vernapi.com\/analyze',\n  CURLOPT_RETURNTRANSFER =&gt; true,\n  CURLOPT_ENCODING =&gt; '',\n  CURLOPT_MAXREDIRS =&gt; 10,\n  CURLOPT_TIMEOUT =&gt; 0,\n  CURLOPT_FOLLOWLOCATION =&gt; true,\n  CURLOPT_HTTP_VERSION =&gt; CURL_HTTP_VERSION_1_1,\n  CURLOPT_CUSTOMREQUEST =&gt; 'POST',\n  CURLOPT_POSTFIELDS =&gt; array('text' =&gt; 'Sample message'),\n  CURLOPT_HTTPHEADER =&gt; array(\n    'Authorization: XXXXX:XXXXXXXXXXX'\n  ),\n));\n\n$response = curl_exec($curl);\n\ncurl_close($curl);\necho $response;\n\n<\/code><\/pre><\/div><p><!-- .eof tab-pane --><\/p><\/div><\/div><div class=\"fw-divider-space divider-30\">\u00a0<\/div><h5 class=\"special-heading text-left \"><span class=\"robotofont normal-letter-spacing\"><br \/>Returns <\/span><\/h5><div class=\"fw-divider-space divider-30\">\u00a0<\/div><div class=\"text-wrap \"><p>VERN returns the following JSON response. It includes the message that was analyzed along with a breakdown of the confidence rating on a scale of 0.00 to 100.00<\/p><pre><code>{\n    \"text\": \"Sample message\",\n    \"scores\": [\n        {\n            \"name\": \"fear\",\n            \"value\": 0,\n            \"raw\": 0\n        },\n        {\n            \"name\": \"anger\",\n            \"value\": 0,\n            \"raw\": 0\n        },\n        {\n            \"name\": \"sadness\",\n            \"value\": 0,\n            \"raw\": 0\n        },\n        {\n            \"name\": \"love\",\n            \"value\": 0,\n            \"raw\": 0\n        },\n        {\n            \"name\": \"humor\",\n            \"value\": 0,\n            \"raw\": 0\n        }\n    ]\n}\n<\/code><\/pre><\/div><div class=\"fw-divider-space divider-30\">\u00a0<\/div><div class=\"text-wrap \"><div class=\"row\"><div class=\"col-sm\"><h3>Understanding the Results<\/h3><div><p>VERN scores the results of an analysis on a percent confidence scale between 0.00 \u2013 100.00. The higher the confidence rating, the more likely the detected emotion exists within the message. Our current standard is that a rating of 51% shows a statistical significant likelihood the emotion is present.<\/p><p><span style=\"font-weight: 400;\">The output is a single score per enabled emotion analyser. That score is a confidence level in the range 0-100 against the specified emotion.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">The following is a general guide to the interpretation of these scores:<\/span><\/p><table style=\"height: 289px;\" width=\"445\"><tbody><tr><td style=\"padding-left: 40px;\"><strong>Score<\/strong><\/td><td style=\"padding-left: 40px;\"><span style=\"text-decoration: underline;\"><span style=\"font-weight: 400;\">Interpretation<\/span><\/span><\/td><\/tr><tr><td><span style=\"color: #ff0000;\"><strong>70-100<\/strong><\/span><\/td><td><p><span style=\"font-weight: 400;\"><span style=\"text-decoration: underline;\">High confidence<\/span> the text reflects the emotion.<\/span><\/p><p><span style=\"font-weight: 400;\">The higher the score the more intense the emotion is felt by a receive<\/span><\/p><\/td><\/tr><tr><td><span style=\"color: #ffcc00;\"><strong>50-70<\/strong><\/span><\/td><td><p><span style=\"font-weight: 400;\"><span style=\"text-decoration: underline;\">Moderate confidence<\/span> text reflects the emotion.<\/span><\/p><p><span style=\"font-weight: 400;\">May contain other emotions,<\/span><\/p><\/td><\/tr><tr><td><span style=\"color: #99cc00;\"><strong>0-50<\/strong><\/span><\/td><td><span style=\"font-weight: 400;\"><span style=\"text-decoration: underline;\">No meaningful information<\/span>, no interpretation.<\/span><\/td><\/tr><\/tbody><\/table><p>\u00a0<\/p><p><span style=\"font-weight: 400;\">The model is designed such that it is increasingly hard for a sample of text to increase a score. This can be compared to \u201clogarithmic scaling\u201d. As such a score in the range 60-80 is considered to be a clear signal. <\/span><\/p><p><span style=\"font-weight: 400;\">Note that a high score from a selected emotion analyzer does not preclude a high score from a different emotion analyzer.<\/span><\/p><p>A single message may contain multiple emotions cues as we tend to package a lot of data when we communicate in order to convey complex emotions. More complex emotions may be found through the combinations of core emotives (Humor, Anger, Sadness, Love, Fear).<\/p><p>The applications of VERN<strong>\u2122<\/strong> can vary based on the context being applied. They can either be used to help score communication for emotional content or be used within the context of a decision matrix where specific responses are triggered if an emotional threshold is reached.<\/p><\/div><\/div><\/div><\/div><div class=\"fw-divider-space divider-40\">\u00a0<\/div><div class=\"bootstrap-tabs vertical-tabs row\"><div class=\"col-md-6 col-lg-6 offset-lg-1 tab-content-wrap\"><div class=\"tab-content\"><div id=\"tab-84a1ce2f479cd4677ee1cff94aecf55f-2\" class=\"tab-pane fade \" role=\"tabpanel\" aria-labelledby=\"tab_link-84a1ce2f479cd4677ee1cff94aecf55f-2\"><div class=\"text-wrap scroll-block\">\u00a0<\/div><\/div><p><!-- .eof tab-pane --><\/p><\/div><\/div><\/div><\/div><p><!-- .col-* --><\/p><p><!-- e5eb28fac1b6efd65c63c0fe0500f294 --><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-f5e181e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f5e181e\" data-element_type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0b9fb82\" data-id=\"0b9fb82\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-13e5fa7 elementor-widget elementor-widget-heading\" data-id=\"13e5fa7\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.9.2 - 21-12-2022 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">VERN compared to other emotion recognition methods\/examples<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-64319af elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"64319af\" data-element_type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-4391fb6\" data-id=\"4391fb6\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f451f0c elementor-widget elementor-widget-text-editor\" data-id=\"f451f0c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"bootstrap-tabs vertical-tabs row\"><div class=\"col-md-6 col-lg-5\"><p style=\"text-align: center;\"><a id=\"tab_link-84a1ce2f479cd4677ee1cff94aecf55f-2\" class=\"nav-link\" role=\"tab\" href=\"https:\/\/host.tucknologies.com\/~v3rn4dm1n\/documentation\/?elementor-preview=12999&amp;ver=1672338984#tab-84a1ce2f479cd4677ee1cff94aecf55f-2\" data-toggle=\"tab\"><\/a><span style=\"letter-spacing: 0px;\">Here&#8217;s a look at the side-by-side comparison of VERN to popular databases in sentiment and emotional analysis.\u00a0<\/span><a style=\"background-color: white; letter-spacing: 0px;\" href=\"https:\/\/vernai.com\/side-by-side-comparison-vern-and-kaggle-praveengovi-dataset\/\">Click to see the Praveengovi Dataset 1<\/a><\/p><p style=\"text-align: center;\">Here&#8217;s a look at the side-by-side comparison of VERN to popular databases in sentiment and emotional analysis.\u00a0<a href=\"https:\/\/vernai.com\/side-by-side-comparison-vern-and-kaggle-praveengovi-dataset-2\/\">Click to see the Praveengovi Dataset 2<\/a><\/p><p style=\"text-align: center;\">Since most of us alive now know the smash hit &#8220;Friends&#8221; (which is enjoying a much-deserved renaissance), we thought we&#8217;d show a small snippet of <a href=\"https:\/\/vernai.com\/friends-results\/\">how VERN would analyze an episode.<\/a><\/p><\/div><\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Documentation Guide for VERN \u00a0 VERN provides emotional analysis for textual information and can be accessed via our API.\u00a0 Click here to view the detailed model description. \u00a0 Authentication \u00a0 VERN uses API keys to authenticate requests.\u00a0 You can view your API in the VERN Dashboard once you have created an account. All requests made [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-12999","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.13 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Documentation - VERN AI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/host.tucknologies.com\/~v3rn4dm1n\/documentation\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Documentation - VERN AI\" \/>\n<meta property=\"og:description\" content=\"Documentation Guide for VERN \u00a0 VERN provides emotional analysis for textual information and can be accessed via our API.\u00a0 Click here to view the detailed model description. \u00a0 Authentication \u00a0 VERN uses API keys to authenticate requests.\u00a0 You can view your API in the VERN Dashboard once you have created an account. 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