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Ai Classify Review Sentiment And Topics

Run customer reviews through Claude Haiku 4.5 and get back a sentiment label, the main topic and the product aspects mentioned, as three new columns you can filter and count. Uses four built-in example reviews; point it at your own reviews dataset or file.

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Run ChatGPT, Claude & Gemini in Bulk on CSV or Google Sheets
Run ChatGPT, Claude & Gemini in Bulk on CSV or Google Sheetsnerolabs/dataset-ai-enrich
Id
Product
Review
Sentiment
+4 fields
Text
Number
Boolean
List
Object

Input

Data (inline)
id:1+3
product:Wireless earbuds+3
review:Battery life is fantastic and the sound is crisp, but the charging case feels cheap and creaks.+3
Instruction (applied to every row)(required):Classify the sentiment of this customer review as positive, neutral or negative. Then name the main topic in one to three words, and list up to three product aspects the customer mentions. Product: {{product}} Review: {{review}}
Output columns
name:sentiment+2
type:string+2
description:exactly one of: positive, neutral, negative+2
Model:anthropic/claude-haiku-4.5
Export file formats:csv

Output fields

Id
Product
Review
Sentiment
Topic
Aspects
Model
Error

How it works

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The Run ChatGPT, Claude & Gemini in Bulk on CSV or Google Sheets Actor is ready to run with the inputs already set for "Ai Classify Review Sentiment And Topics". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Ai Classify Review Sentiment And Topics" task

The Run ChatGPT, Claude & Gemini in Bulk on CSV or Google Sheets Actor will start running based on the input automatically. You can also change all the input fields, like data (inline), instruction (applied to every row), and more, to match your specific use case.

Receive the "Ai Classify Review Sentiment And Topics" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as id, product, review, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Ai Classify Review Sentiment And Topics" task via API.

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