Text Classification

Manual text classification (named-entity) takes one employee a whole day to tag 500 phrases. Our Text Classification API can automatically convert your company’s data classification process from manual to 100% automatic.

TEXT CLASSIFICATION

Find out what User intent is and formulate the best response and actions. Our Text Classification automatically identifies user intents. NLU model can be further trained and optimized to your custom intents.

INPUT TEXT

English

Korean

Japanese

Select example to try

He is a male. And name is Matt

I was hospitalized 3 days in the Stanford medical clinic. It was due to the fracture. I'd like make a claim.

please tell me how to add my kids to my plan

예제를 선택해 주세요

사이버창구에 회원가입을 하려면 어떻게 해야 하나요?

말일이 휴일인 경우 보험료가 어떻게 처리되나요?

실손보험도 가입했는데 중복보장이 가능한가요?

例を選択してください

現在のSBI損害保険の自動車保険のノンフリート等級は引継ことはできますか？

火災保険の重要事項説明書の確認をしたい。

楽天損害保険の医療保険の差額ベッド代とはなんですか？

RESULT

Input text above or try analyzer with our example

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Natural Language Understanding API - Text Classification