Open Access
Research Article
Understanding the research landscape of smart libraries using text mining and data visualization : A use case of Voyant Tool
*Sarita GulatiCorresponding authorgulatisarita2005@gmail.comShivalik Institute of Education and Research Mohali IndiaChandigarh, 160014, India0000-0001-9963-8917View full profile → , Atasi Sinhababuasinhababu@pb.amity.eduAmity University Mohali Chandigarh 160014 Punjab IndiaView full profile → , Rupak Chakravartyrupak@pu.ac.inDepartment of Library and Information Science Panjab University Chandigarh 160014 IndiaView full profile →
* Corresponding author · click or hover a name for details
- Published Online:
- 01 Jun 2023
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- CJSIM-2022-0051
- Pages:
- 159–174
Abstract
Text mining has become one of the most common methods used to analyze natural language documents today. In this study, 81 open access journal articles on the topic of “smart libraries” from Google Scholar were analyzed using text mining techniques. Articles were chosen based on the criterion that they had to be open access and have smart libraries as their main component. To analyze the articles and discover interesting text patterns within the retrieved articles, Voyant Tool, an open-source text-mining tool, was used. It assists in finding Corpus Collocates that are closely related in texts as well as identifying n-grams in the field of smart libraries (sequences of words occurring together with the context that surrounds them). Results showed that the most frequently used words in the corpus were smart (3533); information (2253), data (1753); technology (1382); service (1327). Furthermore, findings showed that the longest document had 14210 words and the shortest had 1012. Overall, the study findings will help in understand the smart libraries ecosystem with deeper insight.
Keywords
References
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