Video genre classification is a challenging task in a global context of fast growing video collections available on the Internet. This paper presents a new method for video genre identification by audio analysis. Our approach relies on the combination of low and high level audio features. We investigate the discriminative capacity of features related to acoustic instability, speaker interactivi...

Automatic genre classification aims to correctly categorize an unknown recording with a music genre. Recent studies use the Kullback-Leibler (KL) divergence to estimate music similarity then perform classification using k-nearest neighbours (k-NN). However, this approach is not practical for large databases. We propose an efficient genre classifier that addresses the scalability problem. It use...

The main purpose of the present quasi-experimental study was to investigate the effects of linear process versus genre-based approach on EFL learners’ written production. To this end, 40 learners of English at intermediate level were randomly selected as the participants of the study and assigned into two groups of experimental (process and genre) which received different types of instruction f...

The efficacy of genre-based approach to teaching writing has been regarded as an influential practice in L2 writing pedagogy (Hyland, 2007). However, there is still gap between actual structures found in reading materials recommended as textbooks and discourse patterns recommended for L2 writing in EFL contexts, the gap which would highlight the problems of genre and rhetorical patterns for tea...

Abstract Genre recognition is a critical facet of text comprehension and text classification. In three experiments, we assessed the minimum number of words in a sentence needed for genre recognition to occur, the distribution of genres across text, and the relationship between reading ability and genre recognition. We also propose and demonstrate a computational model for genre recognition. Usi...

emphasizing collective memory and based on bakhtin's idea of the dialogical principle and multi-voice novelistic discourse, as well as considering the idea of the perspectival truth of historical fact, the present paper deals with the capacity of the history-oriented novel genre in introducing multiple perspectives of history. such an emphasize and description can be connected to analyzing...

This paper describes an approach for investigating the representation of events and their distribution in a corpus. We collect and analyze statistics about subject-verb-object triplets and their content, which helps us compare corpora belonging to the same domain but to different genre/text type. We argue that event structure is strongly related to the genre of the corpus, and propose statistic...

The Bag-of-Frames (BoF) approach has been widely used in music genre classification. In this approach, music genres are represented by statistical models of low-level features computed on short frames (e.g. in the tenth of ms) of audio signal. In the design of such models, a common procedure in BoF approaches is to represent each music genre by sets of instances (i.e. frame-based feature vector...

In this paper, we propose a novel approach for keyword extraction. Different from previous keyword extraction methods, which identify keywords based on the document alone, this approach introduces Wikipedia knowledge and document genre to extract keywords from the document. Keyword extraction is accomplished by a classification model utilizing not only traditional word based features but also f...

Author profiling deals with the study of various profile dimensions of an author such as age and gender. This work describes our methodology proposed for the task of cross-genre author profiling at PAN 2016. We address gender and age prediction as a classification task and approach this problem by extracting stylistic and lexical features for training a logistic regression model. Furthermore, w...