JAGELLONIAN UNIVERSITY PRESS - DIGITAL QUALITATIVE SOCIOLOGY: NATURAL LANGUAGE ANALYSIS AND AI

Discover the fascinating world of digital qualitative sociology, where natural language analysis meets artificial intelligence. This innovative publication from Jagiellonian University Press is the key to understanding how language shapes our reality and how modern technologies can enrich social research. Immerse yourself in a reading that combines tradition and modernity, offering a unique perspective on today's world.

• Innovative approach to qualitative research methodologies
• Combination of digital humanities, computer science, and social sciences
• Linguistic-cognitive methodology of narrative analysis
• Integration of computer-assisted qualitative data analysis with modern technologies
• Use of artificial intelligence and natural language processing
• Practical solutions for researchers interested in digital sociology
• Clear explanations and procedures, facilitating the understanding of advanced concepts

Digital Qualitative Sociology is a publication that reveals the everyday world of the local community through the analysis of natural language. The author uses advanced methods of analyzing biographical-narrative interviews to show how we construct and structure the reality around us through language, uncovering hidden meanings of words that help categorize and make sense of the world. It is a fascinating journey into the depths of the human psyche and social interactions, enriched by the latest technological achievements.

The publication presents an innovative approach to qualitative research methodologies, combining methods of digital humanities, computer science, and social sciences. The author guides the reader through a linguistic-cognitive methodology of narrative analysis, which integrates computer-assisted qualitative data analysis with modern technologies such as computational linguistics, artificial intelligence, natural language processing, and language models. It brings these technologies closer, showing how they shape reflexivity and enrich the repertoire of the qualitative researcher. This is a must-read for anyone who wants to understand how technology affects our lives and how we can use it to better understand the world.

The monograph is an essential read for researchers interested in digital sociology and qualitative data analysis. It offers interesting solutions based on artificial intelligence and natural language analysis, showing how traditional methods of data analysis can be combined with new technologies. Clear explanations and procedures make it a valuable source of knowledge for students, doctoral students, and experienced researchers. It is an investment in scientific development and the expansion of research horizons.

Grzegorz Bryda - sociologist and methodologist, head of CAQDAS TM Lab, assistant professor at the Institute of Sociology of the Jagiellonian University. He is an experienced researcher in the field of sociology and digital humanities. He specializes in the theory and methodology of social research, computer-assisted analysis of qualitative and mixed data, processing and analysis of natural language using artificial intelligence algorithms in qualitative sociology.