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NASA NTRS · 20210019681

Using Machine Learning to Classify Earth Science Articles

Andrew Cramer·Vanessa Chatman
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Abstract

Developing a machine learning pipeline to automatic the classification of research article topics, where topics are geophysical descriptors. The resulting classified documents will be added to the Usage-Based Discovery graph database, along with corresponding NASA Earth Science datasets, with the intent of linking the NASA data product with uses of it that can be searched by topic. The project will aid in the following goals (1) creating a wider representation of how and how much NASA Earth Science data products are used, (2) identifying when NASA data products have been used even when they are not clearly cited, and (3) providing the UBD search tool end-user with set of recommended datasets based on a given topic query.

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Andrew Cramer, Vanessa Chatman. Using Machine Learning to Classify Earth Science Articles. https://ntrs.nasa.gov/citations/20210019681

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