Emotion AI (Speech & Sentiment Analytics)

About Emotion AI

“The mood-tracking technologies, sentiment analysis algorithms and stress-busting meditation techniques are put to work in the service of certain political and economic interests.” — William Davies

Emotion AI aka. Opinion mining is when businesses apply specialized mining algorithms to speech, text and computational linguistics to understand business interactions, customers and employees, locating hidden bottlenecks and pinpointing where automation will lead to the biggest positive impact to customer satisfaction, compliance and identify new revenue workstreams.

How it’s used

1. Discover and Model processes:

Discover speech and text sentiments by applying opinion mining algorithms to events, including extracting data from enterprise applications and then automatically generate process models. When combined with mining, which discovers and analyzes user interaction data, a business can analyze different levels of detail for a more complete picture of an engagement.

2. Gain Actionable insights:

Apply data analysis patterns to discovered data, verifying metrics like frequency, duration, cost, compliance and conformance with advanced data visualizations. Define and evaluate company-specific KPIs and compare two or more variants for a more holistic view.

3. Uncover Clear root causes for targeted fixes:

Look more closely at the touchpoints that have issues and uncover exactly where and why problems are happening with root-cause analysis visualizations — to identify new revenue streams, resource snag, or other irregularity at a specific point in a business process.