Automating Academic Document Analysis with ChatGPT: A Mendeley Case

Abstract

The management and organization of a large collection of academic documents is an important part of scientific research. This study explores the use of ChatGPT, a large language model from OpenAI, to extract insights from a large collection of academic documents stored in Mendeley. The study found that ChatGPT can be used to generate insightful graphs, concise summaries, and other tasks tailored to user needs. The study also demonstrated that ChatGPT can be used to analyze a large number of publications in PDF format. This suggests that ChatGPT could be a valuable tool for researchers who want to save time and effort by automating the analysis of their data. The GitHub repository for the source code and the output of this study is available at: https://github.com/MohamedAbuella/Analysis_Mendeley.