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

TL;DR

This paper employs natural language processing to analyze past conference proceedings, revealing research trends, emerging topics, and collaboration networks to guide future research directions and improve search capabilities.

Contribution

It introduces a comprehensive NLP-based analysis of conference proceedings to identify research trends and develop an advanced search tool for better literature exploration.

Findings

Identification of key research topics and their evolution over time

Visualization of collaboration networks among researchers

Development of an improved search tool for conference papers

Abstract

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.