Session 12 Natural Language Processing [NLP] Machine Learning [ML] in the Weather Enterprise. Using Machine Learning Techniques to understand users' perspectives and behavior and analyzing unstructured data (text and multi-media data) for improving products & services.


Description:

Natural Language Processing is a field in machine learning with the ability of a computer to understand, analyze, manipulate, and potentially generate human language. NLP has been used widely in our society to understand user needs, comments, behavior, respond to customer needs, and increase customer satisfaction. The National Weather Enterprise has paid increasing attention to engaging user needs, and particularly with the public. With the rapid increase of applying machine learning techniques in the weather domain, NLP ML seems to have a large role in helping organizations to better engage and respond to customers, and user needs. This session invites authors to present their work, thoughts, and experiences about applying NLP ML within the Weather enterprise domains. Hosts and Conveners: Thanh Vo Dinh [NOAA/NESDIS], Martin Yapur [NOAA/NESDIS], Stephen Elliot [NOAA/OAR]


Submission Deadline: Wednesday, 24 August 2022