Copy-paste formulas for review sentiment tagging
Paste a formula into row 2, test it on a few rows, then drag down to run the workflow across your spreadsheet.
Sentiment label
A: review text
=GPT("Classify the sentiment of this review as Positive, Neutral, Negative, or Mixed: " & A2 & ". Return only the label. If the text is empty or unclear, return Unknown.")
Theme / topic
A: review text · B: allowed themes
=GPT("Tag this review with up to 2 themes from this list: " & B2 & ". Review: " & A2 & ". Return the themes comma-separated, or Other if none fit. Do not invent themes outside the list.")
Severity / priority
A: review text
=GPT("Rate how urgent this feedback is to act on (P1 critical, P2 important, P3 minor) and give a one-line reason: " & A2 & ". Return priority | reason. Treat safety, billing, and data issues as higher priority.")
QA / grounding flag
A: review text · B: assigned tags
=GPT("Check if these tags are supported by the text. Review: " & A2 & ". Tags: " & B2 & ". Flag any sentiment or theme not supported by the text and return pass/review/fail.")
Short answer
AI sentiment tagging for reviews in Google Sheets is a workflow for support, product, and voice-of-customer teams who have a pile of free-text feedback and need it structured. GPT for Sheets runs AI formulas across a table of review text, producing sentiment labels, themes, and severity in adjacent columns you can sort, filter, and prioritize — constrained to a theme list you control.
Fastest path: Install GPT for Sheets → add the review text column and tag columns → paste a formula from the formula section → review 10 rows → fill down. For plans, see GPT for Sheets pricing.
This page is for purchase-intent teams that already collect feedback in spreadsheets and want fast, reviewable tagging.
Workflow
A practical sheet for this workflow usually has these columns:
| Column | What to put there | Why it matters |
|---|---|---|
| A | Raw review or feedback text | Source the model reads |
| B | Allowed theme list | Keeps tagging consistent |
| C | Sentiment label | Sort positive vs negative fast |
| D | Theme tags | Group feedback by topic |
| E | Severity / priority | Triage what to act on first |
| F | QA / grounding flag | Stops tags not supported by the text |
Step-by-step setup
- Start with 10 representative reviews before filling down.
- Keep raw text unchanged; write tags to new columns.
- Constrain themes to your allowed list.
- Add rules: return Unknown when unclear, never invent themes.
- Add a QA formula that flags unsupported tags.
- Fill down, then sort by sentiment and severity to act.
Why tag feedback in a spreadsheet
Free-text feedback is hard to act on until it is structured. Tagging in a sheet — with the review, its tags, and a QA flag side by side — lets you constrain themes to your own list, test on 10 rows, and then sort by sentiment and severity to find the issues that matter, instead of reading every comment one by one.
Copyable formula notes
Paste the cards into row 2 and drag down. Pass your allowed theme list so tagging stays consistent, and keep the grounding QA formula so tags reflect what the text actually says.
Use cases
- Classify sentiment across reviews, NPS comments, and support notes.
- Group feedback into your own themes for reporting.
- Triage which issues to act on first by severity.
- Flag tags that are not supported by the underlying text.
Best for / not best for
Best for: support, product, and CX teams that collect feedback in Sheets and want fast, consistent, reviewable tagging.
Not best for: treating AI sentiment as a precise metric without spot-checking, or tagging against themes you have not defined.
Use GPT for Sheets as the tagging and triage layer; review the flagged rows and the high-severity items.
Internal links and next workflows
- GPT for Sheets
- GPT for Sheets pricing
- Data cleaning for CRM imports
- Product categorization for ecommerce
- Meeting prep research template
Safety, compliance, and data quality
Use feedback you are permitted to process, avoid storing unnecessary personal data, and keep raw text intact for audit. Treat AI tags as a draft, constrain themes to your list, review flagged and high-severity rows, and do not treat sentiment scores as exact measurements. A pass / review / fail QA column keeps tagging grounded.
Frequently Asked Questions
What is the fastest way to tag reviews in Google Sheets?
Install GPT for Sheets, add the review text column and tag columns, paste a sentiment formula into row 2, review a sample, then fill down.
Can I use my own themes?
Yes. Pass your allowed theme list in the formula and instruct it to return Other when nothing fits, so tagging stays consistent with your reporting.
Is the sentiment label exact?
Treat it as a fast, consistent draft rather than a precise metric. Spot-check rows and use the QA flag to catch tags not supported by the text.
Do I need to copy and paste between ChatGPT and Sheets?
No. GPT for Sheets runs AI formulas directly in spreadsheet cells, which is better for repeatable bulk tagging and QA review.
Start this workflow in Google Sheets
If your feedback already lives in spreadsheets, install GPT for Sheets and tag it where your rows already live.
Install GPT for Sheets or compare plans to turn free-text reviews into a sorted, prioritized, reviewable table.