{"id":55309,"date":"2020-08-24T13:29:38","date_gmt":"2020-08-24T12:29:38","guid":{"rendered":"https:\/\/www.clickworker.com\/?page_id=55309"},"modified":"2022-11-23T10:26:48","modified_gmt":"2022-11-23T09:26:48","slug":"sentiment-detection","status":"publish","type":"page","link":"https:\/\/www.clickworker.com\/ai-glossary\/sentiment-detection\/","title":{"rendered":"Sentiment Detection"},"content":{"rendered":"<section class=\"white section-space top_grey_separation_sm\">\r\n<div class=\"container\">\r\n<div class=\"row\">\r\n<div class=\"col-lg-6\">\r\n\r\n<span class=\"gl_letter_offcanvas gl_single\">S<\/span>\r\n<h1 class=\"section-headline pt-4 mt-1 mb-4\"><span class=\"gl_single_headline\">Sentiment Detection<\/span><\/h1>\r\n<ul>\r\n \t<li><a href=\"#explanation\">Sentiment Detection \u2013 Short Explanation<\/a><\/li>\r\n\t<li><a href=\"#real\">Sentiment Detection in the Real World<\/a><\/li>\r\n \t<li><a href=\"#ai\">Sentiment Detection in the World of AI<\/a><\/li>\r\n\r\n\r\n<\/ul>\r\n<\/div>\r\n\t\r\n<div class=\"col-lg-6\">\r\n\t\t\t <img decoding=\"async\" src=\"https:\/\/www.clickworker.com\/wp-content\/uploads\/2020\/08\/Sentiment-Detection.png\" alt=\"Sentiment Detection\" class=\"gl_image max-width-100\"\/><\/div>\r\n<\/div>\r\n<\/div>\r\n<\/section>\r\n\r\n\r\n<section class=\"gray section-space\">\r\n<div class=\"container\">\r\n<div class=\"row\">\r\n<div class=\"col-lg-12\">\r\n<h2 class=\"section-headline mb-4\" id=\"explanation\">Sentiment Detection \u2013 Short Explanation<\/h2>\r\n<p><strong>Sentiment detection<\/strong> or <a href=\"https:\/\/www.clickworker.com\/sentiment-analysis\/\">sentiment analysis<\/a> is the means through which AI, using natural language processing and other tools, determines the emotions in text or speech. In business, having an understanding of emotion is critical in determining the appropriate actions to take. <\/p>\r\n<p>Sentiment detection is primarily focused on positive or negative aspects and can be further categorized through emotional statements. Based on how it is configured and used, it can help companies decide if a prospect is interested in a product or service or not very quickly and easily. \r\n\r\n<\/p>\r\n\r\n\r\n\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/section>\r\n\r\n<section class=\"white section-space bottom_grey_separation_sm\">\r\n<div class=\"container\">\r\n<div class=\"row\">\r\n<div class=\"col-lg-12\">\r\n\r\n<h2 class=\"section-headline mb-4\" id=\"real\">Sentiment Detection in the Real World<\/h2>\r\n<p>Sentiment detection and analysis are used regularly in the social media world where it can help researchers understand public opinions on specific topics. Shifts in sentiments are a powerful indicator of the changing views. They have been correlated back to swings in the stock market, so correct analysis can be extremely profitable if done well. <\/p>\r\n<p>Sentiment detection and analysis is also useful in advertising and market research as well as customer service. By understanding how customers perceive your product and service, different escalation strategies and steps can be automatically applied to help improve customer experience. \r\n<\/p>\r\n\r\n\r\n\r\n<blockquote>Order suitable <a href=\"https:\/\/www.clickworker.com\/ai-datasets-for-machine-learning\/\">AI training data<\/a> from clickworker to optimally train your AI system for sentiment detection.<\/blockquote>\r\n\r\n\r\n\r\n<h2 class=\"section-headline mb-4\" id=\"ai\">Sentiment Detection in the World of AI<\/h2>\r\n<p>Sentiment detection and analysis is difficult without AI tools and algorithms. For example, the phrase \u201cthe battery life is too short\u201d does not by itself indicate positive or negative emotion. In context and through human understanding, it is easy to understand that this is negative, however. <\/p>\r\n<p>With over 80% of the world\u2019s data in an unstructured form, analyzing the information by hand is an impossible task. By using AI systems, however, the task becomes more straightforward. AI algorithms can tag and label this unstructured data so that companies and businesses understand what actions they need to take. <\/p>\r\n<p>Sentiment detection and analysis is not easy, though. Human languages are complex and have their own rules with unique grammar structures and cultural connotations that need to be accounted for. For example, the sentence: \u201cI lost the game. Amazing!\u201d could to a machine sound like a positive statement. However, you or I read the phrase understand the sarcastic connotations and tone. The word \u201cAmazing\u201d by itself is generally positive, but in context, the sentence is actually negative.<\/p>\r\n\r\n\r\n\t<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/section>","protected":false},"excerpt":{"rendered":"<p>S Sentiment Detection Sentiment Detection \u2013 Short Explanation Sentiment Detection in the Real World Sentiment Detection in the World of AI Sentiment Detection \u2013 Short Explanation Sentiment detection or sentiment analysis is the means through which AI, using natural language processing and other tools, determines the emotions in text or speech. In business, having an [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":0,"parent":54483,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"blank_with_breadcrumb.php","meta":{"footnotes":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Sentiment Detection - Term explanation in the AI glossary<\/title>\n<meta name=\"description\" content=\"Sentiment detection is the means through which AI, using NLP and other tools, determines the emotions in text or speech.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.clickworker.com\/ai-glossary\/sentiment-detection\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Sentiment Detection - Term explanation in the AI glossary\" \/>\n<meta property=\"og:description\" content=\"Sentiment detection is the means through which AI, using NLP and other tools, determines the emotions in text or speech.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.clickworker.com\/ai-glossary\/sentiment-detection\/\" \/>\n<meta property=\"og:site_name\" content=\"clickworker.com\" \/>\n<meta property=\"article:modified_time\" content=\"2022-11-23T09:26:48+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.clickworker.com\/wp-content\/uploads\/2020\/08\/Sentiment-Detection.png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.clickworker.com\/ai-glossary\/sentiment-detection\/\",\"url\":\"https:\/\/www.clickworker.com\/ai-glossary\/sentiment-detection\/\",\"name\":\"Sentiment Detection - 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