Text mining and visual analytics in research: Exploring the innovative tools
Mustafa Raza Rabbani, Abu Bashar, Mohd Atif, Ammar Jreisat, Zehra Zulfikar, Yusra Naseem
Abstract
The aim of the study is to present an advanced overview and potential application of the innovative tools/software's/methods used for data visualization, text mining, scientific mapping, and bibliometric analysis. Text mining and data visualization has been a topic of research for several years for academic researchers and practitioners. With the advancement in technology and innovation in the data analysis techniques, there are many online and offline software tools available for text mining and visualisation. The purpose of this study is to present an advanced overview of latest, sophisticated, and innovative tools available for this purpose. The unique characteristic about this study is that it provides an overview with examples of the five most adopted software tools such as VOSviewer, Biblioshiny, Gephi, HistCite and CiteSpace in social science research. This study will contribute to the academic literature and will help the researchers and practitioners to apply these tools in future research to present their findings in a more scientific manner.