Spark-based machine learning for capturing word meanings

When someone can take a very challenging present-day problem and translate it into a problem that has been studied for centuries, the result can be amazing. Such is the case with Word2Vec, a method for transforming words into vectors. Text is unstructured data and has been explored mathematically far less than vectors, both historically and today. Physicist and mathematician Sir Isaac Newton may have been the first person to study vectors in the context of forces in physics. The concept of vectors has almost three centuries of scientific maturity.