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In this paper, we show a textual analysis of past ICALEPCS and IPACconference proceedings to gain insights into the research trends and topicsdiscussed in the field. We use natural language processing techniques toextract meaningful information from the abstracts and papers of past conferenceproceedings. We extract topics to visualize and identify trends, analyze theirevolution to identify emerging research directions, and highlight interestingpublications based solely on their content with an analysis of their network.Additionally, we will provide an advanced search tool to better search theexisting papers to prevent duplication and easier reference findings. Ouranalysis provides a comprehensive overview of the research landscape in thefield and helps researchers and practitioners to better understand thestate-of-the-art and identify areas for future research.

Textual Analysis of ICALEPCS and IPAC Conference Proceedings: Revealing  Research Trends, Topics, and Collaborations for Future Insights and Advanced  Search