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 […]
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To classify and categorize human food and non-food items online, as well as to subclassify and subcategorize human food items into taxonomies, types and cuisines, for enhancing AI enabled online food ordering apps’ performance in ensuring smooth customer navigation through catalogs and correctly identifying customer preferences, placed orders, and delivery requirements. Project Category Natural Language […]
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AIW is a Data Labeling & Annotation services company providing highly accurate and timely human-in-the-loop labeled and annotated data across various domains and industry verticals to AI-enabling businesses intending to enable superior training of AI and ML models.
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