Abstract We explore a simple, web-based method for predicting the genre of a given artist based on co-occurrence analysis, i.e. analyzing co-occurrences of artist and genre names on music-related web pages. To this end, we use the page counts provided by Google to estimate the relatedness of an arbitrary artist to each of a set of genres. We investigate four different query schemes for obtainin...

We analyse the challenges and changing character, production and consumption of the emerging genre fashion film through a genre as ecology approach. This approach accounts for the complexity of various rhetorical practices used within the creative industries, such as fashion. We find that digital mediation compels genre innovation in networked cultures in the mediation of fashion. We examine th...

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...

This quasi-experimental study investigated the instructional efficacy of genre-based approach on Iranian EFL learners’motivation for writing. Out of 180 participants, 60 EFL male and female students at university level, with the age range of 19-28, based on a standard profeciency test, Preliminary English Test (PET), were selected and randomly assigned into control and experimental groups. Each...

Text classification, whether by topic or genre, is an important task that contributes to text extraction, retrieval, summarization and question answering. In this paper we present a new pairwise ensemble approach, which uses pairwise Support Vector Machine (SVM) classifiers as base classifiers and “input-dependent latent variable” method for model combination. This new approach better captures ...

Classification and abstraction of narrative content is a problem that spans several domains and disciplines ranging from Film Studies and Narratology to Adaptive Hypermedia and Computational Preference Modeling. Applications for automatic recognition and classification of narrative content range from commercial recommendation systems to interactive digital storytelling (IDS) systems. The notion...

We approach the general problem of machineprinted document genre classification using contentfree layout structure analysis. Document genre is determined from the layout structure detected from scanned binary images of the document pages, using no OCR results and minimal a priori knowledge of document logical structures. Our approach uses attributed relational graphs (ARGs) to represent the lay...

This paper describes a new approach to defining genre. A model is presented that defines genre based on likability ratings rather than features of the content itself. By collecting hundreds of thousands of likability ratings, and incorporating these into a topic model, one can create genre categories that are interesting and intuitively plausible. Moreover, we give evidence that likability-base...

Considerable literature explores the contribution of genre teaching in English academic writing. The role of this approach in developing academic writing of Iranian EFL students, however, has been underresearched. This study investigated the implications of using this approach with a class of undergraduate students in Iran. The current study reports on the findings of a project which employed a...