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...

Digital music distribution industry has seen a tremendous growth in resent years. Tasks such us automatic music genre discrimination address new and exciting research challenges. Automatic music genre recognition involves issues like feature extraction and development of classifiers using the obtained features. As for feature extraction, we base on Self-Organizing Maps to map the high-dimension...

This paper examines automated genre classification of text documents and its role in enabling the effective management of digital documents by digital libraries and other repositories. Genre classification, which narrows down the possible structure of a document, is a valuable step in realising the general automatic extraction of semantic metadata essential to the efficient management and use o...

In my thesis, I examine the discursive space of the detective fiction genre following Kasai Kiyoshi’s periodization in his two-volume seminal work Tantei shōsetsuron (The Theory of Detective Fiction, 1998). I investigate how Japanese detective fiction has developed in relation to Japan’s modernization, industrialization, nationalism, and globalization, specifically in the 1920s-30s, the 1950s-6...

English language teaching (ELT) writing practitioners have long attempted to improve EFL/ESL learners’ competence in writing with recourse to either instruction or feedback. Likewise, researchers have, to date, mainly focused on either of these treatments to enhance language learners’ composing ability. Which treatment leads to more significant improvements is, however, unclear. Moreover, of th...

A software system that automatically classifies MIDI files into hierarchically organized taxonomies of musical genres is presented. This extensible software includes an easy to use and flexible GUI. An extensive library of high-level musical features is compiled, including many original features. A novel hybrid classification system is used that makes use of hierarchical, flat and round robin c...

Music genre meta-data is of paramount importance for the organization of music repositories. People use genre in a natural way when entering a music store or looking into music collections. Automatic genre classification has become a popular topic in music information retrieval research both with digital audio and symbolic data. This work focuses on the symbolic approach, bringing to music cogn...

The paper provides an in depth examination of the narrative structure of Massively Multiplayer Online Computer Role-Playing Games (MMORPGs). The analysis is focused on the narrative complexities created by the relationships between computer technology, the medieval fantasy that is central to the genre, and the emergent nature of the online player society. The paper is divided into four major se...

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...

This paper presents the jWebMiner 2.0 cultural feature extraction software and describes the results of several musical genre classification experiments performed with it. jWebMiner 2.0 is an easy-to-use and open-source tool that allows users to mine the Internet in order to extract features based on both Last.fm social tags and general web search string co-occurrences extracted using the Yahoo...