Case Study: Yelp Achieves Japanese Search and Review Highlighting with Basis Technology's Rosette

Road to Japan How to Yelp Like a Native

Yelp wanted to launch in Japan and improve search and review highlighting for Japanese users, but Japanese text processing is technically challenging because words are not separated by spaces. The team needed a fast, reliable linguistic solution that could support search quality and help surface useful review highlights while fitting into Yelp’s broader international expansion plans. To meet this need, Yelp evaluated Basis Technology’s Rosette text analytics platform.

Basis Technology’s Rosette provided the multilingual text processing Yelp needed, including tokenization, sentence splitting, and part-of-speech tagging across many languages. With Basis Technology’s support, Yelp optimized performance and shipped Japanese search and highlights with confidence; the result was a well-received Yelp Japan launch in April 2014, one of Yelp’s fastest-growing international markets, and expanded use of Rosette across many languages, including in Yelp’s English highlights feature.

Yelp

Travis B

Product Manager of Search and Data Science