preprints.org > computer science and mathematics > artificial intelligence and machine learning > doi: 10.20944/preprints202304.1074.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 20 April 2023 / Approved: 27 April 2023 / Online: 27 April 2023 (10:36:36 CEST)
Version 2 : Received: 27 April 2023 / Approved: 2 May 2023 / Online: 2 May 2023 (04:13:23 CEST)

DataDiscoveryLab is a software tool that enables users to recommend possible pathways to their research with references by extracting valuable insights from academic articles by parsing them into text and figures and processing the image data using computer vision algorithms. The software creates two databases for text-based purposes, one for titles, figure captions, and references, and another for abstracts, introductions, methods, and results using NLP techniques. The software then compares these databases to users' research questions, finds similarities, and presents the findings. Additionally, the software takes data from researchers' scientific software and devices to compare with the current figure-based databases, creating a loop until the best answer and pathways to research and articles to recommend can be found. This tool provides valuable insights and context for researchers, helping them make informed decisions about their research.

data analysis; computer vision algorithms; visual data; natural language processing; scientific research

Computer Science and Mathematics, Artificial Intelligence and Machine Learning

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