CustomerXM - Complete this lesson to learn how to use Sentiment Analysis (a feature that gives you an overview of the emotional opinions behind certain Topics), use the Text iQ summary page, and display Text iQ fields.
This section describes how to use Sentiment analysis to identify the emotional opinions behind your text topics. It explains that every text response is automatically assigned a sentiment category and a numerical score on a scale of -2 to +2. You'll learn how to manually correct the sentiment score for individual comments, which helps train the AI model. The section also highlights that sentiment classification considers both the response text and the context of the question.
Lesson Objectives:
- Explain the purpose of Sentiment analysis and how it assigns a category and a numerical score to text responses.
- Recognize the different sentiment categories and their corresponding scores, from Very Negative (-2) to Very Positive (+2).
- Manually adjust a comment's overall sentiment score or a specific topic's sentiment score if the AI makes an error.
- Explain how the context of the survey question influences the sentiment score assigned by Text iQ's AI model.
- Understand that manual corrections help improve the accuracy of Text iQ's sentiment identification over time.
Features Covered:
- Sentiment analysis
- Sentiment categories
- Sentiment score
