Capturing enough accurate, quality data at scale is a common challenge for individuals and businesses alike. In this article, we outline four ways to source raw data for machine learning, and how to go about annotating it.
Text Classification for ZaizenLearn how Lionbridge provided high-quality text data for Zaizen, a company developing conversational AI systems that respond to user emotions. This text data was used to train a personalized AI for everyday conversations.Download
Text Classification for TravelokaLionbridge classified over 200,000 search queries for Traveloka, a leading online travel company. This data was used to build a search engine capable of returning results in multiple product categories.Download
Virtual Assistant DevelopmentFor an ongoing project with one of the world’s largest technology corporations, Lionbridge’s team edits and enhances the voice grammar framework for a leading virtual assistant.Download
Sentiment AnalysisFor one of the world’s largest technology companies, Lionbridge AI performed sentiment annotation on over 20,000 text records. The data was used to help the client’s text analytics platform reach fluency in 14 languages.Download