Author(s): Z.H Ramli
Text mining, a subset of natural language processing (NLP), has emerged as a powerful tool in social science research, particularly in sociology. This article provides an overview of the advancements and prospects of computational text analysis in sociology. It examines the evolution of text mining techniques, their applications in sociological research, and the challenges and opportunities they present. By leveraging large volumes of textual data from various sources, text mining enables sociologists to uncover patterns, trends, and insights that were previously inaccessible. This article explores the potential of text mining to revolutionize sociological inquiry and offers recommendations for future research directions.
The Journal of International Social Research received 7760 citations as per Google Scholar report
