This study analyzed 928 full-text research articles retrieved from DESIDOC Journal of
Library and Information Technology for the period of 1981–2018 using Latent Dirichlet …

Collections containing a large number of short documents are becoming increasingly
common. As these collections grow in number and size, providing effective retrieval of brief …

Natural language processing (NLP) is an area of increased interest for digital archivists,
although most research to date has focused on digitized rather than born-digital collections …

Scholarship across disciplines is changing in the face of digital methodologies, novel forms
of evidence, and new communication technologies. In the humanities, scholars are …

Text mining application is one of the most trending and highly researched areas in social
sciences. To date, library professionals' knowledge of text mining tools and practice is …

Gathering annotations from non‐expert online raters is an attractive method for quickly
completing large‐scale annotation tasks, but the increased possibility of unreliable …

Digital library interoperability efforts have succeeded in making large‐scale aggregation of
digital collections technically feasible, to the extent that aggregations have become critical …

This study presents a method to analyze textual data and applying it to the field of Library
and Information Science. This paper subsumes a special case of Latent Dirichlet Allocation …

There's more and more precious content digitized in digital archives especially for cultural
heritage. It could cost much effort in digitization and archiving. To meet the requirements in a …

Providing useful and efficient semantic annotations is a major challenge for knowledge
design of any body of text, especially historical documents. In this article, we propose Topic …