Возможности и ограничения текст-майнинга: применение современных методов анализа текстовых данных
This textbook is an analytical toolkit demonstrating a variety of approaches to analyzing qualitative data — interview materials, observations, photos, letters and online messages. The authors are practicing social researchers who share their experience of narrative analysis, the- matic analysis, discourse analysis, grounded theory, qualitative content analysis and text-min- ing. Each chapter contains an explanation of key concepts, and shows examples and possible algorithms for working with data.
The book consists of three interrelated sections. The first section shows the specifics of qualitative analysis and the methodological landscape. These chapters are devoted to the origin and application of the methods. The second section shows researchers the features of coding and processing, and demonstrates the specifics of working with various software, in- cluding ATLAS.ti, NVivo, Dedoose, and Python. The third section describes the formats for the presentation of the results of qualitative research. Each chapter contains an explanation of key concepts and shows examples and possible algorithms for working with data.
The book is addressed to a wide range of readers — students, researchers, and lecturers who conduct research projects and teach courses on the methodology and methods of social research.