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.

翻译：本文对历届ICALEPCS与IPAC会议论文集进行了文本分析，旨在深入理解该领域的研究趋势与讨论主题。我们运用自然语言处理技术，从过往会议论文的摘要与正文中提取有意义的信息。通过主题提取实现趋势可视化与识别，分析其演变过程以揭示新兴研究方向，并基于论文内容及其网络分析突出有影响力的出版物。此外，我们将提供一款高级搜索工具，以便更高效地检索现有论文，从而避免重复研究并便于参考文献发现。本分析全面勾勒了该领域的研究全景，有助于研究人员与实践者准确把握当前技术水平，并识别未来研究的发展方向。