Published October 14, 2024 | Version v1.0
Software Open

fherreralab/-Seaweed-Based-Bioplastics-Data-Mining-Ingredient-Property-Relations-from-the-Scientific-Literature: Supplementary Material

Creators

  • 1. Department of Physics, Universidad de Santiago de Chile, Av Victor Jara 3493, Santiago, Chile.
  • 2. Computer Science and Engineering, Amrita School of Computing Amaravati, Amrita Vishwa Vidyapeetham, Andhra Pradesh 522503, India.
  • 3. Department of Mechanical Engineering, University of Santiago of Chile (USACH), Avenida Libertador Bernardo O'Higgins 3363, Santiago 9170022, Chile.
  • 4. Department of Industrial Engineering, University of Santiago of Chile (USACH), Avenida Libertador Bernardo O'Higgins 3363, Santiago 9170022
  • 5. Department of Management, Faculty of Management and Economics, University of Santiago of Chile (USACH), Avenida Libertador Bernardo O'Higgins 3363, Estación Central, Santiago 9170022, Chile.
  • 6. Millennium Institute for Research in Optics, Concepción, Chile.

Description

This first release leverages data mining and natural language processing to explore ingredient-property relationships in seaweed-based bioplastics.

This release includes:

Jupyter notebooks for co-occurrence matrix analysis and experiments with MatBERT. A comprehensive master list of abstracts used in the study. Search terms applied to gather scientific literature.

Files

fherreralab/-Seaweed-Based-Bioplastics-Data-Mining-Ingredient-Property-Relations-from-the-Scientific-Literature-v1.0.zip

Files (2.6 MB)

Additional details

Related works

Is supplement to
Software: https://github.com/fherreralab/-Seaweed-Based-Bioplastics-Data-Mining-Ingredient-Property-Relations-from-the-Scientific-Literature/tree/v1.0 (URL)