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...

We present a preliminary study on the relations between personality types and user preferences in multiple entertainment domains, namely movies, TV shows, music, and books. We analyze a total of 53,226 Facebook user profiles composed of both personality scores (openness, conscientiousness, extraversion, agreeableness, neuroticism) from the Five Factor model, and explicit interests about 16 genr...

Document management has to be rethinked and clarified in organizations, especially for the coordinated adoption of organization-wide electronic document management systems (EDMSs). This paper reports the identification and evaluation of 11 organizational document genres of an industrial organization by using a framework constituted in an earlier study. The analysis revealed that different featu...

Educational computer game has many similar characteristics like any other genres of games. However its particular aspect is designed to teach, and in which main objective involves in learning a topic. To develop an effective educational computer game, different game genres, learning activities and techniques, and learning styles are important issues for consideration. This paper presents an ana...

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...

In this paper, we investigate the impact of machine learning algorithms in the development of automatic music classification models aiming to capture genres distinctions. The study of genres as bodies of musical items aggregated according to subjective and local criteria requires corresponding inductive models of such a notion. This process can be thus modeled as an example-driven learning task...

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...

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...