How Does It Work?
We use deep learning and natural language processing to first transcribe your audio file into text, capture important audio features and apply our natural language understanding algorithms to determine frustration and why are people frustrated.
01. identify frustration
Our unique sentiment analysis algorithm combines both words and the acoustic features found in calls such as high energy in angry conversations, to determine the emotional state of the parties involved.
02. FIND call drivers
We apply our unique deep learning algorithm to determine the most common reasons why people are frustrated.
03. take action and monitor trends
As you take action to address the identified trends, we monitor the impact of these changes in real-time.