Real-time sentiment analysis for customer support tickets

Sentiment Evaluator screenshot

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
Additionally, it provides a concise justification for its analysis, empowering customer experience engineers with actionable insights into customer sentiment.

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.