Emotions & Analytics from Natural Language Processing (NLP):
Q°emotion provides a SaaS platform that analyzes and monitors the emotions of company audiences from semantic contents. We offer a simpler way to improve the customer experience.

- Our mission -
Transform Big Data & Social Data into Feel Data, in order to improve Customer paths, Customer experiences and Loyalty.

- What we do -
We analyze the semantic contents from social networks, from customer surveys or from customer emails and deliver primary emotions, their key root causes and additional emotional KPIs .

Since Oct. 2015, Qemotion NLP algorithms have measured more than 10 million reactions.

- What makes us different -
We believe that emotion is a key enabler to synthetize customer reactions from any mails, tweets, posts, call centers or surveys. During our first tests, we have discovered that both language and emotions remain largely untapped potential.

Unlike other actors of the affective computing industry, we c...
Emotions & Analytics from Natural Language Processing (NLP):
Q°emotion provides a SaaS platform that analyzes and monitors the emotions of company audiences from semantic contents. We offer a simpler way to improve the customer experience.

- Our mission -
Transform Big Data & Social Data into Feel Data, in order to improve Customer paths, Customer experiences and Loyalty.

- What we do -
We analyze the semantic contents from social networks, from customer surveys or from customer emails and deliver primary emotions, their key root causes and additional emotional KPIs .

Since Oct. 2015, Qemotion NLP algorithms have measured more than 10 million reactions.

- What makes us different -
We believe that emotion is a key enabler to synthetize customer reactions from any mails, tweets, posts, call centers or surveys. During our first tests, we have discovered that both language and emotions remain largely untapped potential.

Unlike other actors of the affective computing industry, we consider that written/spoken emotions are the best and easier source of information to start integrating emotions into decisions related to customer experience. For most companies, data are available and non-intrusive: not need to generate new data!

Our algorithm calculates several indicators, very useful to compare and benchmark. (emotional index but also the % of primary emotions, valence, arousal, dominance, etc.).

We are now implementing machine learning processes than enable us to enrich and improve the performance of the current NLP algorithm.
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Recommendations

Georges Mao

I worked with Grégoire Pfirsch as his direct manager for 4 years at CRM Metrix (2006-2010).
During that period Grégoire strongly exceeded my expectations to significantly accelerate and build a digital analytics business portfolio and establishing a sound business development strategy across large advertisers.
Grégoire has high analytical & cognitive ability, combined with problem solving & empathy which offer added value client service & consulting highly recognized. He benefits from "hands-on" Digital marketing & advertising expertise on key insights & creative strategies that drive effectiveness & help to shift more advertising spends to digital.

From the reading of Q°emotion business, this is an area that is worth exploring and has several drivers of interest for marketers. As competition grows with Offline/Online, shopper experience in any "moments" of purchase funnel is key and brands need to understand the value of Emotional experience to leverage sales lift & profits.

Kevin Bourgeois Co-Founder at Sentimy

Supermood is currently experimenting with Q°emotion. The value proposition is really great, and the team super nice. Even if the model needs some optimization, the UX and tech are really promising. :)