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Article

Интеллектуальный анализ текстов в социальных науках

Throughout most of their history, sociologists have sought to study unstructured organic texts: newspaper materials, diaries, memoirs, letters, documents, and, more recently, messages, publications and other texts on various online platforms. This article discusses how modern techniques of text mining can improve classical sociological approaches to the analysis of this type of data. The article is structured according to the following plan. First, examples of classical quantitative content analysis and its limitations are discussed that could be solved with the help of text mining. Then I discuss how text mining is applied in contemporary social science research with topic modeling and text classification. Finally, I conclude with a discussion of some of the current approaches to text analysis using deep learning, as well as theoretical issues related to the application of text mining