Sentiment Analysis on Customer Feedback
When feedback arrives in the hundreds, reading every comment is impractical. Sentiment analysis uses AI to gauge whether messages are positive, negative or neutral, and to surface themes.
It is a helpful summarising tool, provided you understand its limits.
What You Gain
- A quick overall mood reading across many comments.
- Early warning when negativity spikes.
- Common topics grouped automatically.
- Time freed from manual tagging.
Where It Slips
Sarcasm, mixed messages and industry slang regularly fool these tools. A comment such as 'oh brilliant, broken again' may be scored positive. Treat the scores as a guide to where to look, not as a precise verdict on each comment.
Getting Value From It
The real value is in spotting changes and themes across many messages, rather than judging any single one.
- Use trends over time, not single scores.
- Read a sample to sanity-check the labels.
- Act on the themes it highlights, not the numbers alone.
Frequently Asked Questions
Can it replace reading feedback ourselves?
It is best as a filter that points you to what deserves attention, not a full substitute for reading the comments that matter.
If you need a hand with any of this, your Progressive Robot delivery team is ready to help. Raise a ticket from the Support area of your client portal or speak to your account manager and we will guide you through the next steps.