Classification of musical genres gives a useful measure of similarity and is often the most useful descriptor of a musical piece. Previous techniques to use hidden Markov models (HMMs) for automatic genre classification have used a single HMM to model an entire song or genre. This paper provides a framework to give finer segmentation of HMMs through acoustic segment modeling. Modeling each of t...

In this paper, we present an inferential model for text type and genre identification of web pages, where text types are inferred using a modified form of Bayes’ theorem, and genres are derived using a few simple if-then rules. As the genre system on the web is a complex reality, and web pages are much more unpredictable and individualized than paper documents, we propose this approach as an al...

This paper presents experiments on classifying web pages by genre. Firstly, a corpus of 1539 manually labeled web pages was prepared. Secondly, 502 genre features were selected based on the literature and the observation of the corpus. Thirdly, these features were extracted from the corpus to obtain a data set. Finally, three machine learning algorithms, one for induction of decision trees (J48...

In this paper we propose a new centroid-based approach for genre categorization of web pages. Our approach constructs genre centroids using a set of genre-labeled web pages, called training web pages. The obtained centroids will be used to classify new web pages. The aim of our approach is to provide a flexible, incremental, refined and combined categorization, which is more suitable for automa...

Deliberation is an increasingly used concept in Argumentation Theory and Linguistic Analysis. But only recently research combined empirical and conceptual tool-boxes from these disciplines for the study of deliberative discourse. The aim of this article is to present a discursive analysis of deliberation as a genre using the relational discourse structure of texts. In particular, we want to see...

Current document retrieval tools succeed in locating large numbers of documents relevant to a given query. While search results may be relevant according to the topic of the documents, it is more difficult to identify which of the relevant documents are most suitable for a particular user. Automatic genre analysis that is, the ability to distinguish documents according to style would be a usefu...

Scientific writing is a general label with a great deal of variation at any period. Empirical evidence of variation within genres of the early periods has been produced by studies of the Helsinki Corpus of English Texts, as they have shown that umbrella categories like ‘religious treatises’ or ‘scientific writing’ contain very heterogeneous texts (Meurman-Solin 1993, Taavitsainen 1993, 1994a). ...

A robust music genre classification framework is proposed that combines the rich, psycho-physiologically grounded properties of auditory cortical representations of music recordings and the power of sparse representation-based classifiers. A novel multilinear subspace analysis method that incorporates the underlying geometrical structure of the cortical representations space into non-negative t...

The phrase "virtual community" is often used to describe long term, computer-mediated conversations amongst large groups. This paper suggests that such conversations may be better viewed as instances of a participatory genre, rather than as community. A genre-oriented analysis is useful because it encourages a focus on the medium within which the discourse is embodied. As an example we analyze ...

With the advent of larger electronic music repositories, the automatic organization of music into different genre categories is receiving increased attention. The creation of such genre hierarchies, as well as ways for providing useful interfaces to these, poses an interesting challenge. With the SOM-enhanced JukeBox (SOMeJB) system we developed an approach for automatically organizing pieces o...