Technologies of deep text analysis in musicology

Abstract

The article considers the possibility of improving the mechanism of work of the author-musicologist with the texts of historical musicology. The purpose of the article is to consider the mechanisms of detecting internal relationships between the elements of a musicological text. The subject of the study is verbal texts of musicology. The object of this article is analytical tools of modern digital technologies for working with texts. The author examines in detail such aspects as the selection and formation of a set of keywords, the definition of the structure of the search for information necessary for research. Particular attention is paid to the internal processes of the musicology laboratory, within which it is not always possible to form a set of key verbal meanings of a prepared study using traditional methods. The author for the first time proposed a methodology for using computer tools for deep text analysis programs in the daily activities of a musicologist-researcher. The scope of the methodology is not limited to the field of music science, it can find solutions in other fields of knowledge. In the course of the research, the practical side of the product implementation is highlighted, the stages of post-processing of a text array are presented in a concise form. At the same time, the problematic "slice" stated in the study turns out to be saturated with other information content, which allows us to further find hidden patterns of development of certain processes, discover new relationships and determine new vectors of scientific research.