How to Get Annotated Data for Machine Learning Lionbridge AI

At the core of any AI project lies a great deal of annotated data for machine learning. Whether the end product is a customer service chatbot or a sentiment analysis engine, anybody building machine learning models eventually requires access to a vast amount of training data. 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 conducting data annotation. The internet contains thousands of publicly available datasets ready to be used, analyzed and enriched.