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Find complaint types in Korean product reviews

Label Korean reviews with complaint types, sentiment and purchase motive. Replace the sample texts with your own, or pick a review scraper dataset (Coupang, Olive Young, Naver).

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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.+3
Custom labels:mentions the smell

Output fields

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

How it works

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

Start the "Find complaint types in Korean product reviews" 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 "Find complaint types in Korean product reviews" 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 "Find complaint types in Korean product reviews" task via API.

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