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Analyzing Customer Emotions Using IBM Bluemix, Watson, and Twilio Voice

Blog post from Twilio

Post Details
Company
Date Published
Author
Eddie Zaneski
Word Count
1,741
Company Posts That Month
33
Language
English
Hacker News Points
-
Post removed?
No
Summary

This summary provides an overview of a project that uses IBM Bluemix, Watson APIs, and Twilio Programmable Voice to analyze customer emotions through phone calls. The application is built on Cloud Foundry using Java and Maven, and it utilizes the Watson Speech to Text API to transcribe audio recordings and the Tone Analyzer API to identify emotional tones in the speech. After recording a call, the system sends the transcription to the Tone Analyzer, which provides an analysis of the customer's emotions, including anger, disgust, fear, joy, sadness, analytical tone, confident tone, tentative tone, openness tone, conscientiousness tone, extraversion tone, agreeableness tone, and neuroticism tone. The application then uses Twilio to send a text message with the Tone Analysis results to the caller.

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