Emotion text analysis predicts the emotion, or feeling, of an author of a text. As emotions occur in response to a stimulus such as an physical event or a social interaction, they allow us to draw conclusions to the emotional connection of the author to the topic that has been mentioned in a text. Based on Paul Ekman‘s Universal Emotions model, our API detects seven emotions out of texts: anger, contempt, disgust, enjoyment, fear, sadness, surprise.
Apply Emotional Text Analysis via Symanto API and investigate your customer‘s feelings automatically within your analysis app
Expand your Social Listening by analysing the emotions of your customers
Recognise upset consumer requests and prioritise your response
Analyse chat emotions in real-time and tailor automated answers empathetically
You can try our API free of charge, with no obligation.
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