Real-time sentiment analysis for customer support tickets

Evaluate the sentiment of every resolved conversation and provide a brief justification, classifying them into one of five categories: `frustrated`, `unhappy`, `neutral`, `happy` or `delighted`.
The sentiment evaluator snap-in uses advanced sentiment analysis algorithms to evaluate the customer sentiment of every resolved conversation and classify it into one of the following categories:- Delighted
- Happy
- Neutral
- Unhappy
- Frustrated
Note: The sentiment evaluator snap-in is only available for the dev users.
How it works
Once a conversation is resolved, the sentiment evaluator snap-in analyzes the customer messages, catching nuanced emotional cues, and categorizes the sentiment accordingly.Features
- Immediate analysis It provides fast and accurate sentiment analysis once a ticket is resolved.
- Sentiment breakdown It doesn't just classify sentiments, it also provides a clear justification for its analysis, helping you understand your customers better.
- Cross-platform compatibility It can analyze customer interactions via email, PLuG, Slack, or any other medium.
- High accuracy It minimizes errors by only assigning sentiments when it has high confidence.
Installation
For detailed installation and configuration instructions, refer to the Sentiment evaluator documentation.More Snap-ins

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