FayeBSG Releases Flare Sentiment Analysis, a Machine Learning Mood Indicator Built for the Zendesk Platform
Flare Sentiment Analysis, created by Master Zendesk Partner FayeBSG, provides the ultimate predictive customer experience
Faye Business Systems Group(FayeBSG), a leading global technology company and Master Zendesk Partner, announced the availability of Flare Sentiment Analysis for Zendesk.
With the release of Flare Sentiment Analysis, Zendesk users can now utilize a sophisticated machine learning application that can scan messages for indicative keywords and phrases and let agents know if the sender seems in a positive, negative, or neutral mood.
Read More: NICE Actimize Recognized For Technology Innovation For The Sixth Consecutive Year In The Chartis…
The features and benefits of Flare Sentiment Analysis:
- Automatically analyze messages for the sender’s sentiment
- Gauge sentiment on each response to support tickets and watch mood improve as solutions are presented
- Categorizes the sentiment into positive, negative, neutral, and mixed
- Legacy communications can be analyzed – useful for training purposes
- Analyze not only single messages but whole dialogues as well
Flare Sentiment Analysis is available in a Basic and a Professional edition. Both versions enhance agents with proactive data and analysis of incoming messages to take Zendesk Customer Service workflows to the next level.
The Professional edition gives users the ability to filter messages in Explore by the sentiment or mood of the client and/or agent. This is a highly valuable feature for coaching and prioritizing attention to clients/consumers that may need it most.
Read More: SalesTechStar Interview With Denis Murphy, Chief Revenue Officer At Couchbase
