How to read sentiment in a selected set of Google reviews
A review sentiment summary helps a business understand the language used in a chosen sample. It can organize feedback about service, product experience or a specific visit for closer review.
Start with the right material.
- What you provide
- a small readable Google Maps feedback selection with context.
- The intended result
- Evidence-linked themes from a selected review sample.
How the workflow works.
Keep the review text with its rating and available context. Separate mixed comments into their relevant themes and explain uncertain sentiment instead of forcing a definitive label.
What to check in the result.
Inspect the original comments before deciding on action. The selected reviews are not a representative survey of every customer, and a classification should not replace investigation of a reported incident.
Preview the Markdown to check headings, lists and links as well as the words. Keep source references with the document so a reviewer can trace important statements back to the material you supplied.
Learn from the worked example.
The downloadable Markdown example shows one possible organization of the result. Read it alongside the source example and notice which statements are recorded facts, proposed wording or questions still needing an answer.
The supplied example is illustrative. It is not a recorded run on your data.
Download the example ↓Use it with your own material.
- Open the source you want to work with and activate WebAct on that tab.
- Copy the task from the hero, add any required fields or preferences, and review the proposed actions.
- Compare the first result with your source. Ask for a specific correction or refinement where needed.