Video conferencing and screen sharing
In-person and hybrid event management
Cloud calling and phone system
Video messaging and screen recording
Group messaging, chat, and file sharing
Interactive Q&A, quizzes, and polling
Large meeting and virtual event hosting
Digital co-creation and brainstorming
Explore AI-powered devices for any space.
Design your own meeting room.
Get blueprints for incredible outcomes.
Intelligent, digital to human customer interactions
Optimize agent performance and customer satisfaction
Communications platform for automating customer journeys
Dynamic AI interactions that lead to customer resolutions.
Sentiment analysis (or opinion mining) involves using natural language processing (NLP), text analysis, and computational linguistics to identify, extract, quantify, and study affective states and subjective information from customer interactions. In contact centers, sentiment analysis is applied to voice and text communications to gauge customer emotions, satisfaction levels, and overall sentiment toward the service or product, enabling more personalized and effective customer service strategies.