Natural Language Processing
Summary
As unstructured data grows, NLP technology continues to evolve to better understand the nuances, context, and ambiguities of human language. Recently, machine learning transformer based models BERT and ALBERT have demonstrated the use and effectiveness in retrieving and classifying fake news in a highly specialized domain of COVID-19 (http://www.aclanthology.org). These tools help companies gauge brand sentiment, identify opportunities for improvement, detect negative comments on the fly (and respond proactively), and gain a competitive advantage 4. Supervised learning, commonly used for tasks such as topic classification, requires a large amount of tagged data and many iterations until a model can make accurate predictions. Combining supervised and unsupervised recently used for phenotyping complex diseases with its application to obstructive sleep apnea to sentiment polarity detection (https://www.sciencedirect.com).
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