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MatNexus: A Comprehensive Text Mining and Analysis Suite for Materials Discover

Lei Zhang, Markus Stricker

TL;DR

With the vast volume of scientific publications, MatNexus stands out as an end-to-end tool for researchers aiming to gain insights from scientific literature in material science, making the exploration of materials, such as the electrocatalyst examples, efficient and insightful.

Abstract

MatNexus is a specialized software for the automated collection, processing, and analysis of text from scientific articles. Through an integrated suite of modules, the MatNexus facilitates the retrieval of scientific articles, processes textual data for insights, generates vector representations suitable for machine learning, and offers visualization capabilities for word embeddings. With the vast volume of scientific publications, MatNexus stands out as an end-to-end tool for researchers aiming to gain insights from scientific literature in material science, making the exploration of materials, such as the electrocatalyst examples we show here, efficient and insightful.

MatNexus: A Comprehensive Text Mining and Analysis Suite for Materials Discover

TL;DR

With the vast volume of scientific publications, MatNexus stands out as an end-to-end tool for researchers aiming to gain insights from scientific literature in material science, making the exploration of materials, such as the electrocatalyst examples, efficient and insightful.

Abstract

MatNexus is a specialized software for the automated collection, processing, and analysis of text from scientific articles. Through an integrated suite of modules, the MatNexus facilitates the retrieval of scientific articles, processes textual data for insights, generates vector representations suitable for machine learning, and offers visualization capabilities for word embeddings. With the vast volume of scientific publications, MatNexus stands out as an end-to-end tool for researchers aiming to gain insights from scientific literature in material science, making the exploration of materials, such as the electrocatalyst examples we show here, efficient and insightful.
Paper Structure (17 sections, 6 figures, 1 table)

This paper contains 17 sections, 6 figures, 1 table.

Figures (6)

  • Figure 1: Data flow chart of MatNexus modules.
  • Figure 2: Screenshot of collected abstracts.
  • Figure 3: Screenshot of processed data
  • Figure 4: Term frequency trend for 'wc' and 'mo2c' over the years 2000 to 2022.
  • Figure 5: t-SNE visualization generated using the embedding vectors for different keywords or keyword combinations using the VecVisualizer module.
  • ...and 1 more figures