To extract generic labels or tags from unstructured liquor text data in Korean language. The aim is to classify any text content related to liquor products into pre-defined categories and enable customers to easily search and navigate the respective website or application.

Project Category

Natural Language Programing, Food

Achievement

The classified and labeled data prepared by AIW has been used as inputs for deep learning, and it is currently enabling AI models to acquire human-like intelligence successfully and extract unstructured liquor text data in Korean language and create structured catalogs for smooth customer navigation.