The article deals with the transformation of readers’ preferences and formation a “new reader” at end 20th beginning 21st century. In study, authors draw attention to shift in priority format youth reading favor digital, loss former role libraries as centers non-formal education, well need provide assistance children young people on part “teacher literature”. An international study undertaken R...

Automatic classification of music genre is widely studied topic in music information retrieval (MIR) as it is an efficient method to structure and organize the large numbers of music files available on the Internet. Generally, the genre classification process of music has two main steps: feature extraction and classification. The first step obtains audio signal information, while the second one...

The concept of genre has already been used to analyse organizational communication. It has also been recently used to examine persistent conversations and patterns of thinking. It may there be an opportunity to apply the genre perspective to Electronic Meeting Systems (EMS) as well. This paper describes how we analysed meetings using the concept of communication genre and draws several conseque...

Until now, it is still unclear which set of features produces the best result in automatic genre classification on the web. Therefore, in the first set of experiments, we compared a wide range of contentbased features which are extracted from the data appearing within the web pages. The results show that lexical features such as word unigrams and character n-grams have more discriminative power...

Purpose: This article introduces the Special Issue on Genres of Digital Documents. While there are many definitions of genre, most include consideration of the intended communicative purpose, form and sometimes expected content of a document. Most also include the notion of social acceptance, that a document is of a particular genre to the extent that it is recognized as such within a given dis...

Purpose – To introduce the special issue on “Genres of digital documents.” While there are many definitions of genre, most include consideration of the intended communicative purpose, form and sometimes expected content of a document. Most also include the notion of social acceptance, that a document is of a particular genre to the extent that it is recognized as such within a given discourse c...

This report describes classification methods that recognize the genres of music using both supervised and unsupervised learning techniques. The five genres, classical(C), EDM(E), hip-hop(H), jazz(J) and rock(R), were examined and classified. As a feature selection method, discrete Fourier transform (DFT) converted the raw wave signals of each song into the signal amplitude ordered by their freq...

We are introducing novelty detection, i.e. the automatic identification of new or unknown data not covered by the training data, to the field of music information retrieval. Two methods for novelty detection are evaluated within the context of genre classification based on spectral similarity. Both the method based solely on the similarity information and the one also utilizing genre label info...

This paper proposes a system that automatically locates and extracts songs from digitized movies and classifies the extracted songs according to their genre using a video-based genre identification algorithm. A song grammar particularly applicable to Bollywood movies has been proposed and used subsequently to construct a probabilistic timed automaton that differentiates songs from rest of the s...

Research on teaching writing in Arabic as a less commonly taught language is still in its infancy. Motivated by the dearth of research on the integration of the genre-based approach into teaching writing in Arabic and the absence of such an approach, this paper proposes a genre-based framework for teaching writing in Arabic. Building on conclusions drawn from recent research, it proposes four s...