Evolution of Technologies in Libraries: A Text Mining Study

This paper analyses the evolution of technologies in libraries through the available literature appeared in Scopus database using a structured search string. A total of 926 documents, dealing with technologies in libraries, were identified and selected for creating a dataset. Further, a custom list of keywords representing various types of technologies used in libraries was prepared for matching and extracting the technological terms. This study employed a text mining approach to automatically identify technologies from the corpus of articles’ abstracts. Google Sheets and Python were used for data cleaning, pre-processing, analysis, and visualizations. The study found a dynamic transformation of technologies over the years and outlines the library practices and professional expertise in libraries.