Zendesk
OCTOBER 31, 2023
Sentiment analysis, developed with UK government backing specifically for how people talk rather than how they type, is applied to both the caller and the agent or agents as the call progresses. Link your support tickets to Setyl assets, people, service accounts, apps, departments, locations, and legal entities.
DMG Consulting
APRIL 14, 2023
Most departments in an enterprise will benefit from a firsthand view of what customers think about the job they are doing; this includes auditing and compliance, risk management, legal, and collections departments. Sentiment analysis, for example, provides insights into the experience of both the customer and the employee.
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CSAT.AI
APRIL 12, 2023
A workflow for a team of two frontline agents, two tier 2 agents, a team lead and an expert could look like this: Train agents to recognize customer language that warrants escalating to a manager, or even to the legal department. Phrase based models can be used to flag an interaction when specific language is used.
Logicalware
JULY 26, 2023
Moreover, AI-driven sentiment analysis and quality monitoring provide invaluable insights into customer emotions and agent performance, fostering continuous improvement. Designed explicitly for tasks like answering questions, sentiment analysis, and translation, BERT is a powerful force in understanding and interpreting human language.
CSAT.AI
JANUARY 8, 2020
This webinar at Brighttalk hosted by Aaron Lumnah (Senior Manager, Demand Generation, Semafone) with guest Thomas Chisena (Associate, Foley & Lardner LLP),covers legal parameters and how they affect the contact center. However, the protection of consumer data isn’t just a legal issue it’s a trust issue.
UJET
DECEMBER 17, 2020
Using sentiment analysis and emotion recognition , NLP can flag heightened feelings on the customer side and areas for improvement on the agent side, so your company can take action to deliver a more timely or relevant response. More empathetic responses to unhappy customers.
UJET
DECEMBER 17, 2020
Using sentiment analysis and emotion recognition , NLP can flag heightened feelings on the customer side and areas for improvement on the agent side, so your company can take action to deliver a more timely or relevant response. More empathetic responses to unhappy customers.
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