Introduction Since its release in 2018, Novetta’s Machine Learning Center of Excellence has evaluated the performance of Universal Language Model Fine-Tuning (ULMFiT)1 against many customer use cases. We have found that automated labeling of unstructured text helps analysts be more efficient, freeing them up to focus on higher-value tasks. We have been so impressed with its accuracy that we have deployed ULMFiT against a dataset in a production system, with plans to expand it to dozens of other datasets. While ULMFiT’s performance has been impressive on all the datasets we’ve tested, we thought it could do more. Our first use…
NOVETTA NEXUS
Brian Sacash
