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Identifying Timeframes in a Research Interview with AI

One AI's ability to detect times in research interviews can be incredibly helpful to users. This AI service is powered by natural language processing, making it accessible via API. It can process text, video, and audio input, allowing users to collect and analyze more data quickly and accurately. It can help streamline research processes and improve the accuracy of interview recordings.
Activate the Times Skill

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Add it to Your Product in Minutes

01.
choice '"Times"' in the Language Studio.
02.
Add additional capabilities or Language Skills to your Pipeline, if desired.
03.
Run & test the output of the Language AI Pipeline using your "Research Interview" as an input, testing with at least 5-15 different inputs.
04.
Visit the Documentation and/or Custom Skill page if further customization is needed.
05.
choice the framework you need, then copy the API call you generated into your project.
06.
Enjoy AI-powered Times detection/extraction for Research Interview in your apps & workflows.

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