This work addresses the problem of genre classification of text and speech transcripts, with the goal of handling genres not seen in training. Two frameworks employing different statistics on word/POS histograms with a PCA transform are examined: a single model for each genre and a factored representation of genre. The impact of the two frameworks on the classification of training-matched and n...

This study examined the way in which television genres in the Netherlands make use of additional communication channels in terms of interactivity and genre modification and whether the availability of additional communication channels in genres corresponds to audience age. Expert interviews were held with representatives of Dutch broadcasting organizations and a secondary analysis of Audience R...

This paper describes a collection of correlated communicative samples collected from the same individuals across six diverse genres. Three of the genres were computer mediated: email, blog, and chat, and three non-computer-mediated: essay, interview, and discussion. Participants were drawn from a college student population with an equal number of males and females recruited. All communication e...

Musical onset detection is a key component in any beat tracking system. Existing algorithms for onset detection usually rely on short time Fourier transform (STFT). Of numerous existing methods to detect musical onsets, a common limitation is the genre-specific performance. For example, accurate onset locations are not usually identified for genres such as classical music and opera music. In th...

We present a new approach to defining film genre based on implicit ideals. When viewers rate the likability of a film, they indirectly express their ideal of what a film should be. Across six studies we investigate the category structure that emerges from likability ratings and the category structure that emerges from the features of film. We further compare these data-driven category structure...