Jaxon is a semi-supervised data labeling solution able to bootstrap a small number of human-provided labels into full-scale training data for text-oriented machine learning applications.
Machine Learning is currently powered by armies of humans. Machines cannot ‘read’ raw text, and it takes months and massive amounts of manpower to label the millions to billions of examples needed to train complex machine learning applications. By the time the data is labeled, it is frequently already outdated.
Jaxon autonomously labels raw text in minutes, producing up-to-date training sets dramatically faster with more consistency and over 90% savings.
Jaxon labels can train any text-based predictive models and classifiers.
Jaxon can be used for:
Adjustment & Diversification