This paper aims to research the topics related to risk included in non-financial disclosure
(NFD) of companies listed on the Warsaw Stock Exchange (WSE) and explore factors that …

This paper deals with the problem of classification of Polish language documents in terms of
a subject category. We compare four state-of-the-art approaches to this task which differ …

The paper concerns the issue of documents in Polish classification according to the subject
category. We compare five approaches, starting from classical TF-IDF one, through …

The paper presents an evaluation of word embedding models in clustering of texts in the
Polish language. Authors verified six different embedding models, starting from widely used …

Every decision of the company may exert an impact on the economy, local community, and
wider society. Moreover, the company culture and values have an impact on employees' …

We are living in the era of an information technology-driven world. A lot of data is being
generated at every moment with the help of the Internet of Things. To extract information …

In this paper, we investigate the influence of distance metrics on the results of open-set
subject classification of text documents. We utilize the Local Outlier Factor (LOF) algorithm to …

In this work we evaluate two different methods for deriving features for a subject
classification of text documents. The first method uses the standard Bag-of-Words (BoW) …

Automated news article classification is a method of categorizing textual data into predefined
classes. Addressing this problem finds applications in diverse domains, including …

Topic modeling is a method for discovery of topics (groups of words). In this paper we focus
on clustering documents in a topic space obtained using the MALLET tool. We tested …