We are not able to deal with a mammoth text corpus without summarizing them into a
relatively small subset. A computational tool is extremely needed to understand such a …

How can a single person understand what's going on in a collection of millions of
documents? This is an increasingly common problem: sifting through an organization's e …

Constructing distributed representations for words through neural language models and
using the resulting vector spaces for analysis has become a crucial component of natural …

Word vector embeddings have been shown to contain and amplify biases in the data they
are extracted from. Consequently, many techniques have been proposed to identify …

Probabilistic topic models are important tools for indexing, summarizing, and analyzing large
document collections by their themes. However, promoting end-user understanding of topics …

In recent years, data visualization has been gaining space in journalism, not only in the
specialized press, but also in the general press. The objective of this article is to analyze …

Для определения понятия «информационная карта» осуществлен обзор основных
этапов развития картографии в качестве инструментария, используемого для …

Word embeddings are distributed representations for natural language words, and have
been wildly used in many natural language processing tasks. The word embedding space …

Social media platforms offer cost-effective digital marketing opportunities to monitor the
market, create user communities, and spread positive opinions. They allow companies with …

Objectives Traditionally, summarization of research themes and trends within a given
discipline was accomplished by manual review of scientific works in the field. However, with …