2004, Deep Learning and Testing - Data Leaders Brief

Overcoming Common Challenges in Natural Language Processing

Sisense

MAY 26, 2020

While training a model for NLP, words not present in the training data commonly appear in the test data. Because of this, predictions made using test data may not be correct. Using the semantic meaning of words it already knows as a base, the model can understand the meanings of words it doesn’t know that appear in test data.

Unstructured Data

Unstructured Data Big Data Testing Machine Learning

Data Leaders Brief

Overcoming Common Challenges in Natural Language Processing

Webinars

Stay Connected