What Is Sentiment Analysis? Definition & Examples
AI technology that detects and classifies the emotional tone (positive, negative, neutral) of text or speech in customer interactions.
Definition
Sentiment analysis (also called opinion mining) is a natural language processing technique that automatically identifies the emotional tone expressed in text or speech. In business applications, sentiment analysis processes customer reviews, chat transcripts, call recordings, survey responses, and social media mentions to determine whether the sentiment is positive, negative, or neutral. Advanced systems detect specific emotions (frustration, satisfaction, urgency) and intensity levels. For service businesses, sentiment analysis provides real-time insight into customer experience, enabling immediate intervention for unhappy clients and recognition of positive interactions.
Sentiment Analysis
Analyzing post-appointment survey responses to flag unhappy clients for follow-up
Monitoring chatbot conversations in real-time to escalate frustrated customers to a human
Processing Google reviews to identify common themes in positive and negative feedback
Analyzing call recordings to assess customer satisfaction and agent performance
Workflow example: Sentiment Analysis
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A chain of four salons collects written feedback after each visit.
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Every month it runs the comments through a sentiment analysis tool.
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The tool flags a rise in negative comments mentioning "waiting" at one location.
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The manager checks that location's schedule, adds buffer time between color appointments, and watches the next month's results.
Why Sentiment Analysis Matters
Many unhappy clients leave without ever complaining. Sentiment analysis surfaces dissatisfaction that would otherwise go unnoticed, helps prioritize follow-up, and reveals recurring issues across many conversations or reviews.
SchedulingKit — Sentiment Analysis
SchedulingKit does not do sentiment analysis or monitor external reviews. Its built-in reviews (Standard plan and above) ask clients for 1 to 5 stars and a comment after a completed booking, which you can read, approve or reply to. If you want to spot themes at scale, copy the comments into a separate text-analysis tool.
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When this isn't for you
This definition page is reference-only. If you came here looking for software to handle sentiment analysis, head to /scheduling-software or /features instead. Skip this page if you're already familiar with the term.