  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.

Computation and Language