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Textual analysis of ICALEPCS and IPAC conference proceedings: revealing research trends, topics, and collaborations for future insights and advanced search
Citation Link: https://doi.org/10.15480/882.13878
Publikationstyp
Preprint
Date Issued
2023-10-13
Sprache
English
Author(s)
TORE-DOI
Citation
arXiv: 2310.08954 (2023)
Publisher DOI
ArXiv ID
Publisher
arXiv
In this paper, we show a textual analysis of past ICALEPCS and IPAC conference proceedings to gain insights into the research trends and topics discussed in the field. We use natural language processing techniques to extract meaningful information from the abstracts and papers of past conference proceedings. We extract topics to visualize and identify trends, analyze their evolution to identify emerging research directions, and highlight interesting publications based solely on their content with an analysis of their network. Additionally, we will provide an advanced search tool to better search the existing papers to prevent duplication and easier reference findings. Our analysis provides a comprehensive overview of the research landscape in the field and helps researchers and practitioners to better understand the state-of-the-art and identify areas for future research.
Subjects
cs.CL
DDC Class
600: Technology
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Name
2310.08954v1.pdf
Type
Main Article
Size
2.22 MB
Format
Adobe PDF