Ricciardi et al 2020 Ceres Main Results (original) (raw)

2020

Abstract

This dataset was created for the Ceres2030 Team 6, who conducted a semi-automatic systematic review of over 18,000 articles. The goal was to identify solutions for small farms to adapt to climate change - we focused on water scarce environments. This analysis is under review at the academic journal Nature Sustainability. A link to the article will be provided once published. The manuscript's current citation is:<br>Ricciardi, V., Wane, A., Singh Sidhu, B., Goode, C., Solomon, D., McCullough, E., Diekmann, F., Porciello, J., Jain, M., Randall, N., Mehrabi, Z.Evidence synthesis: Funding research for small-scale farmers in water scarce regions to achieve SDG 2.3. In Review. Nature Sustainability.<br>We use manually coded abstracts to build a natural language processing (NLP) model to include or exclude abstracts to our study. A deep learning model was developed using Bidirectional Encoder Representations from Transformers (BERT) and a cross entropy function to classify ...

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