Google Reviews Sentiment Classifier Bot
Details
Google Chrome (latest version)
Python 3.9+ (installs automatically during setup)
Stable internet connection
4GB RAM minimum
What’s included
Three-Way Sentiment Sorting
Reads each review's text and labels it as positive, negative, or neutral.
Language-Based Analysis
Bases classification on the actual wording used, not just the attached star rating.
Bulk Review Processing
Classifies an entire batch of reviews from a business listing in one run.
Sentiment Breakdown Summary
Shows the overall split of positive, negative, and neutral reviews at a glance.
Per-Review Labeling
Tags each individual review with its assigned sentiment category for easy filtering.
Exportable Results
Sends the classified reviews and summary to CSV or Excel.
How it works
Add the Business Listing
Provide the Google Business listing you want reviews classified from.
Set the Review Range
Choose how many reviews to pull in for classification.
Run the Classification
The bot reads each review and assigns it a sentiment label.
View the Breakdown
See the overall sentiment split along with each labeled review.
Export the Results
Download the classified data as CSV or Excel.
Use cases
Small Business Owners
Get a quick read on overall customer sentiment beyond just the star average.
Customer Experience Teams
Identify how much of the feedback is genuinely negative versus simply neutral.
Marketing Analysts
Use sentiment splits as a data point in broader brand health reporting.
Agencies
Run sentiment breakdowns across multiple client listings for comparison.