This paper is focused on automatic multi-label document classification of Czech text
documents. The current approaches usually use some pre-processing which can have …

Morphological processing of Indian languages is one of the most escalating fields in the era
of Natural Language Processing (NLP) since the last decade. The evaluation of Asian …

Retrieval of court decisions dealing with a similar legal matter is a prevalent task performed
by lawyers as it is a part of a relevant decision-making practice review. In spite of the natural …

The primary objective of this work is to classify Hindi and Telugu stories into three genres:
fable, folk-tale, and legend. In this work, we are proposing a framework for story …

This paper deals with automatic multi-label document classification in the context of a real
application for the Czech News Agency. The main goal of this work consists in proposing …

Between 2 and 6 annotators independently sentiment annotated a stratified random sample
of 10,427 documents from the Slovenian news portals 24ur, Dnevnik, Finance, Rtvslo, and …

With the increase of text stored in electronic format, it is no longer possible for humans to
understand all the incoming data or even categorize it. We need an automatic text …

Most of the previous studies focused on enriching text representation to address text
classification (TC) task. However, conventional classification approaches with VSM (vector …

Computational analysis of linguistic data requires that texts are transformed into numeric
representations. The aim of this research is to evaluate different methods for building vector …

This paper deals with automatic two class document-level sentiment classification. We
retrieved textual documents with political, business, economic and financial content from five …