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<oembed><version>1.0</version><provider_name>Glosarix</provider_name><provider_url>https://glosarix.com/en/</provider_url><author_name>Team Glosarix</author_name><author_url>https://glosarix.com/en/author/adm_glosarix/</author_url><title>Emotion Analytics - Glosarix</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="H8lZgS2nXb"&gt;&lt;a href="https://glosarix.com/en/glossary/emotion-analytics-en/"&gt;Emotion Analytics&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/emotion-analytics-en/embed/#?secret=H8lZgS2nXb" width="600" height="338" title="&#x201C;Emotion Analytics&#x201D; &#x2014; Glosarix" data-secret="H8lZgS2nXb" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><description>Description: Emotion analytics involves the use of artificial intelligence (AI) to analyze users&#x2019; emotional responses in various contexts. This technology is based on processing data from various sources, such as text, voice, and facial expressions, to identify and classify emotions like joy, sadness, anger, or surprise. Emotion analytics has become a valuable tool in the [&hellip;]</description></oembed>
