The successful use of digital media will require new or transformed genres of digital communication. Not only particular technologies or modes of communication or presentation such as hypertext, email, or the Web, but also on complex communicative forms anchored in specific institutions and practices. Along with the digital analogues of print forms like the newspaper, the annual report, the how...

Genre classification means to discriminate between documents by means of their form, their style, or their targeted audience. Put another way, genre classification is orthogonal to a classification based on the documents’ contents. While most of the existing investigations of an automated genre classification are based on news articles corpora, the idea here is applied to arbitrary Web pages. W...

We describe our approach and results towards the genre tagging task of MediaEval 2011. We approached this as an Information Retrieval task and applied a pseudo relevance feedback (PRF) approach for query expansion. Query expansion was also done using WordNet and Wikipedia

New music genres emerge constantly resulting from the influence of existing genres and other factors. In this paper we propose a data-driven approach which is able to cluster and classify music samples according to their type/category. The clustering method uses no previous knowledge on the genre of the individual samples or on the number of genres present in the dataset. This way, music taggin...

Author profiling task aims to identify different traits of an author by analyzing his/her written text. This study presents a Stylometry-based approach for detection of author traits (gender and age) for cross-genre author profiles. In our proposed approach, we used different types of stylistic features including 7 lexical features, 16 syntactic features, 26 character-based features and 6 vocab...