Label the sentiment of product reviews with an LLM

Created by

Michael Costa

Actor

AI for Every Row: Bulk LLM to Classify & Summarize Datasets

Give each review a sentiment label (positive, negative or mixed), validated against your list. Only the review text goes to the model; ids come along for joins. Swap in your own reviews or a review scraper's dataset.

Try for free

AI for Every Row: Bulk LLM to Classify & Summarize Datasetshumble-echidna/ai-rows

Row

Kept fields

Valid

Answer

+1 field

Input

Rows (JSON array)

id:r1+2

product:Steel kettle+2

text:Boils fast and the handle stays cool. Exactly what I wanted for the price.+2

Text fields (the only fields sent to the model):text

Labels to choose from (classify):positive+2

Fields to copy to the output (for joins):id

Output fields

Row

Kept fields

Valid

Answer

Errors

How it works

Sign up on Apify or log in

The AI for Every Row: Bulk LLM to Classify & Summarize Datasets Actor is ready to run with the inputs already set for "Label the sentiment of product reviews with an LLM". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Label the sentiment of product reviews with an LLM" task

The AI for Every Row: Bulk LLM to Classify & Summarize Datasets Actor will start running based on the input automatically. You can also change all the input fields, like rows (json array), text fields (the only fields sent to the model), and more, to match your specific use case.

Receive the "Label the sentiment of product reviews with an LLM" 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 row, kept fields, valid, 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 "Label the sentiment of product reviews with an LLM" task via API.