Leveraging AI to Recognize Sentiments in Technical Support Interactions

One AI's sentiment detection capabilities can be hugely beneficial for users. Its state-of-the-art natural language processing techniques allow it to accurately detect the sentiment of technical support calls. This makes it easier for businesses to identify customer satisfaction and respond to customer needs quickly and effectively. Plus, its accessible API makes it easy to integrate the service into existing customer support systems. One AI can even process text, video and audio input, making it a powerful tool for any customer support team.
Activate the Sentiments Skill

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Detect Sentiments in Technical Support Call:
Choose ‘Sentiments’ in the Language Studio.
Add additional capabilities or Language Skills to your Pipeline if desired.
Run & test the output of the Language AI Pipeline using your ‘Technical Support Call’ as an input. Test with at least 5-15 different inputs.
Visit the Documentation and/or Custom Skill page for further customization.
Choose the framework you need and copy the API call you generated into your project.

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