A relationship among language, gender, and discourse genre has previously been observed in informal, spoken interaction and formal, written texts. This study investigates the language/gender/genre relationship in weblogs, a popular new mode of computer-mediated communication (CMC). Taking as the dependent variables stylistic features identified in machine learning research and popularized in a ...

In this paper I describe a genre analysis for on-line newspapers, revealing how their mediating form affect news related activities. A repertoire of elements was developed during the analysis of three on-line newspapers, to describe them. It is a repertoire of content, information structure and interaction elements together with with a repertoire of mediationg roles. The analysis in terms of th...

The Semantic Web has made it possible to automatically find meaningful connections between musical pieces which can be used to infer their degree of similarity. Similarity in turn, can be used by recommender systems driving music discovery or playlist generation. One useful facet of knowledge for this purpose are fine-grained genres and their inter-relationships. In this paper we present a meth...

In this paper we investigate mixing and transport in correspondence of a meandering jet. The large-scale flow field is a kinematically assigned streamfunction. Two basic mixing mechanisms are considered, first separately and then combined together: deterministic chaotic advection, induced by a time dependence of the flow, and turbulent diffusion, described by means of a stochastic model for par...

OF THESIS STEREOTYPING THE WEB: GENRE CLASSIFICATION OF WEB DOCUMENTS Retrieving relevant documents over the Web is a difficult task. Currently, search engines rely on keywords for matching documents to user queries. This paper explores the potential for discriminating documents based on the genre of the document. I define genre as a taxonomy that incorporates the style, form and content of a d...

Users assess the “appropriateness” of web documents in many ways. Traditionally, appropriateness has been solely a matter of relevance to a particular topic. But users are concerned with other aspects of document “genre”, such as the level of expertise assumed by the author, or the amount of detail. In previous work, we have used machine learning to automatically classify documents along a vari...

Taking an interdisciplinary and bimodal approach to genre analysis, this paper examines the influence of an IT system on a genre of technical communication: the technical trouble ticket. This genre is examined first as an organizational practice, and then as a set of rhetorical statements; finally, the two approaches are combined and the role of the system in creating, controlling and enabling ...

The digitalization of communication creates novel answers to familiar questions – in the form of digital products. What must be done to define the genres of digital products? What must be done to enable the user to identify the genre? Such questions are not new. Art history refers to and to with the methods of stylistics and iconology, while the role of divides fine ...

We approach the general problem of classifying machine-printed documents into genres. Layout is a critical factor in recognizing fine-grained genres, as document content features are similar. 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 met...

Modern search engines aim at classifying web pages not only according to topics, but also according to genres. This paper presents the results of an attempt to train a genre classifier. We present features extracted from a 20-genre corpus used for training the genre classifiers and the results of using different machine learning (ML) algorithms in the process of learning. Success of the genre c...