Understanding the metrics: introduction
GETTING STARTED
Chapter I: Understanding the metrics
Introduction
Through the multiple projects deployed based on real data, Q°emotion has developed an useful expertise that has been put at the service of its customers and that facilitates the detection of actionable insights. In particular, the cross analyses carried out use 4 relevant emotional indicators based entirely on the analysis of comments.
We will study each concept in the following pages.
Executive summary
< See Frequently Asked Questions (FAQ)
| |
All rights reserved: Qemotion France SAS (2021)
What is Qemotion? We are providing CXinsights.io, A SaaS Customer Experience solution to analyze emotions into customer feedbacks. Our goal is to identify and prioritize pain points in the Customer Journey, reduce churn and enhance the customer experience.
Related Articles
The emotional intensity ©
Introduction Emotional intensity is measured by calculating the maximum intensity levels evaluated on each of the words used in the subject, taking into account an indicator: the physiological activation of the client's subject, i.e. the ...
The speech engagement ©
Introduction: What is that for? The speech engagement level is an indicator that measures the speech commitment of the transmitter, the distance between object & subject as well as the audience’s capability of projection. Higher speech engagement is ...
The emotional index ©
Definition The emotional index © or e-index is a key indicator of emotion invented by Q°emotion to synthesize the main emotion felt in the words and its corresponding intensity. It's is an emotional temperature measuring device fixed by convention ...
The primary emotions detected: introduction
Introduction Beyond a binary analysis (positive/negative), the platform offers a new and innovative approach: the emotional analysis of comments. To gain in-depth analysis while remaining synthetic, the Q°emotion team chose the 6 so-called ...
The main emotion of a comment
Thanks to a dictionary with millions of words and emotionally qualified expressions, the emotional analysis is performed automatically on multiple levels of the commentary: To establish the main emotion of the commentary, the algorithm will dissect ...