Explore techniques for building a scalable localization platform using natural language processing (NLP) to support global product expansion. Learn how to leverage Docker and open-source tools like Scala, Apache Spark, Kafka, Cassandra, and PredictionIO to create a robust system for handling billions of localized strings across multiple languages and platforms. Discover strategies for continuous deployment, live syncing, content generation, and emotional response analysis. Gain insights into using Docker for local development, CI/CD, auto-scaling, dependency management, and microservices architecture. Understand how to implement NLP techniques to create products that feel native to users worldwide, regardless of language.