Introducing Attribute Extraction from User-Generated Content

Attribute Extraction from ecommerce data – the generation of structured fields from unstructured text – is a popular product offering of ours. Our customers use it to improve the quality of their search catalogs, and thereby, their search relevance, faceted search and ad targeting.

Thus far, the scope of this product offering has extended to catalog data, primarily product titles, description and specifications. Now, we’re extending this capability to process user-generated content, including customer questions & answers.

Catalog Data
User-Generated Content

By distilling factual information from customer content, these algorithms can help boost the number and relevancy of structured attributes on popular ecommerce product pages. 

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