The paper presents an experiment aimed at comparison of results of topic modelling via non-
negative matrix factorization (NMF) with that of manual topic annotation performed by an …

The paper deals with the problem of thematic tagging in works of fiction, Russian short
stories of the early 20th century (1900-1930) serving as research data. The very concept of …

Lexical system is an essential component of any natural language. Frequency word lists are
a convenient representation of words functional activity in language as a whole or in some …

This paper describes automatic topic spotting of literary texts based on the Russian short
stories corpus, compiling stories written in the first third of the XXth century. Non-negative …

The paper reveals the thematic content and plot structure of the Russian short stories written
in the 20th century's first three decades. It presents part of the ongoing project aimed at a …

Syntactic complexity is an important feature of any text, both written and oral. The information
about syntactic complexity is crucial for successful solution of many practical NLP tasks …

Sentiment analysis is a relevant task in natural language processing, which is often
conducted on Internet texts to analyze reviews of products, services, posts, and comments …

The article describes the results of the research, the purpose of which was to evaluate the
influence of linguistic preprocessing on the interpretability of topic models for literary texts …

A significant part of modern technologies associated with the development of artificial
intelligence systems and digital analytics of diverse data relies on methods of computer text …

The aim of this article is to test the methodological tools provided by TXM open-source
software for research on dynamics of vocabulary and punctuation marks in diachronic …