Book Chapter

The changing roles of librarians: Managing emerging technologies in libraries

Abstract This chapter presents an overview of the changing roles of an academic liaison librarian who is also popularly known as liaison librarian or subject librarian or subject specialist. The major activities which are being performed by a liaison librarian have been categorized. Further, the skills and competencies required by a liaison librarian to perform the activities have been summarized.

New Paradigm in Library 2.0 Sentiment Analysis of Twitter

Abstract This chapter presents a conceptual framework of Sentiment Analysis and its application in the field of Library and Information Science. Sentiment Analysis of social media platforms will help the policy makers, researchers, and market analysts to understand the views and opinions generated by the public on an international platform related to the various facets of libraries.

Marketing of University College of Medical Sciences Library, University of Delhi: a Study

Abstract The advent of Web 2.0 in libraries persuades the librarians to adopt new ways to communicate, determine and satisfy the needs of the users. For this study a questionnaire was given to the medical students of University College of Medical Sciences and another questionnaire was given to the librarian, to find out: the marketing and promotional strategies employed by the library; determine the awareness and satisfaction level of the users; prepare customer profile and market profile, and perform SWOT analysis.

Application of Topic Mining and Prediction Modeling Tools for Library and Information Science Journals

Abstract This chapter presents a method for analyzing text data called topic modeling and applying it to the field of Library and Information Science. It describes the importance and usage of topic mining for researchers and librarians. An experiment study is also covered which applies topic modeling in a real scenario, where five model topics for the articles published in DESIDOC Journal of Library and Information Technology for the year 2017 using Topic-Modeling-Toolkit and prediction modeling is constructed using RapidMiner toolbox.