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- Why Nylas
Quickly identify sentiment within omnichannel communications channels; deliver excellent customer experiences.
From positive to neutral to negative, get semantic context on communication threads.
Follow your customer’s journey, drawing insights from reviews, service inquiries, and more.
Know the perception of your product or service from surveys, reviews, and inquiries driving optimization.
Monitor trends over time, analyzing sentiment from communication threads to understand what’s driving NPS.
Quickly identify and resolve customer issues with instant access to feedback.
Extract the most critical emotional opinion user data on service, status updates or requests that live in communication channels
Positive, neutral, and negative sentiment labels drive automation of key business processes with contextual insight.
Drive interactive self-service user experiences that are critical at key segments of the customer journey with the emotional inclination of the user.
Better address your customers’ state of mind based on sentiment analysis.
Prioritize and highlight actions to reduce churn and deliver just-in-time service.
Have a centralized view of customer satisfaction trends.
Drive user engagement at the right time with a full picture of the customer journey.
Accessing communication threads at scale to analyze for emotional sentiment requires complex channel integrations.
Nylas powers centralized communication channel connectivity to ingest threads for immediate sentiment analysis.
Building and maintaining sentiment analysis models requires machine learning expertise and complex data operations.
Nylas arms you with pre-built AI & ML models that identify and extract the sentiment from your users’ conversation history.
Applying use of sentiment analysis ranking requires structured outputs at scale for application workflows.
Nylas provides a defined output schema for sentiment analysis to quickly operationalize emotional ranking into application workflows.
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