Analyze customer review sentiment without code

Created by

Lofomachines

Actor

Bulk Text Classifier

Classify customer reviews as positive, neutral or negative. Paste texts or switch to CSV / JSON upload and specify the exact text field. Export text and label. $1 per 1,000 texts; Free-plan accounts have 20 texts total across all runs and tasks.

Try for free

Bulk Text Classifierlofomachines/bulk-text-classifier

Text

Label

Input

Where are your texts?:texts

Texts to classify:I love this product!+2

What do you want to classify?(required):Analyze the sentiment of each customer review.

Your classification labels(required):positive+2

Allow multiple labels per text:false

Maximum labels per text:1

Output fields

Text

Label

How it works

Sign up on Apify or log in

The Bulk Text Classifier Actor is ready to run with the inputs already set for "Analyze customer review sentiment without code". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Analyze customer review sentiment without code" task

The Bulk Text Classifier Actor will start running based on the input automatically. You can also change all the input fields, like where are your texts?, texts to classify, and more, to match your specific use case.

Receive the "Analyze customer review sentiment without code" 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 text and label.

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 "Analyze customer review sentiment without code" task via API.