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Weekly Korean review triage: complaints and sentiment

Run it every week on the new reviews of your Korean review scraper: complaint types, sentiment and purchase motive for each. Easiest setup: open your scraper (or its task), Integrations, Add integration, Apify Actor, choose this Actor and set datasetId to {{resource.defaultDatasetId}}. The sample texts below only show the output.

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Korean Review Classifier — sentiment, no login · $0.5/1k
Korean Review Classifier — sentiment, no login · $0.5/1kleoworks/korean-review-classifier
Review id
Id
Index
Rating
+6 fields
Text
Number
Boolean
List
Object

Input

Review texts:배송이 일주일이나 걸렸고 박스가 다 찢어져서 왔어요.+2
Custom labels:mentions the smell

Output fields

Review id
Id
Index
Rating
Review
Complaints
Sentiment
Purchase motive
Custom labels
Error

How it works

Sign up on Apify or log in

The Korean Review Classifier — sentiment, no login · $0.5/1k Actor is ready to run with the inputs already set for "Weekly Korean review triage: complaints and sentiment". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Weekly Korean review triage: complaints and sentiment" task

The Korean Review Classifier — sentiment, no login · $0.5/1k Actor will start running based on the input automatically. You can also change all the input fields, like review texts and custom labels, to match your specific use case.

Receive the "Weekly Korean review triage: complaints and sentiment" 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 review id, id, index, 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 "Weekly Korean review triage: complaints and sentiment" task via API.

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