This paper presents a new method for genre identification that combines homogeneous classifiers using OWA (Ordered Weighted Averaging) operators. Our method uses character n-grams extracted from different information sources such as URL, title, headings and anchors. To deal with the complexity of web pages, we applied MLKNN as a multi-label classifier, in which a web page can be affected by mor...

One way of characterising texts is in terms of the discourse structures on which they appear to be built. Each type of text, or genre, e.g. the sports report, the recipe, the sermon, the proverb, will have associated with it a characteristic organisation of units. In this paper, a general model of the structure of one text type, the story, is described. This model forms the basis of a program w...

Popular music streaming services like Spotify and Pandora are able to suggest songs to users based on a variety of factors. One of the major ones is the music’s genre. The aim of our project is to explore machine learning algorithms that can identify a song’s genre based on its metadata. This report outlines various research methods and discusses their performance. It provides an overview of ou...

This paper presents results in automated genre classification of digital documents in PDF format. It describes genre classification as an important ingredient in contextualising scientific data and in retrieving targetted material for improving research. The current paper compares the role of visual layout, stylistic features, and language model features in clustering documents and presents res...

A lot of research has been done in the past decade in the field of audio content analysis for extracting various information from audio signal. One such significant information is the ”perceived mood” or the ”emotions” related to a music or audio clip. This information is extremely useful in applications like creating or adapting the play-list based on the mood of the listener. This information...

The present study investigated the effect of single and multiple genre movies on listening comprehension of upper intermediate language learners. To this end, a language proficiency test was administered to 40 male and female postgraduates of different majors attending International English Language Testing System (IELTS) classes and ultimately 25 upper intermediate language learners were selec...

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...

A major purpose of an electronic meeting system (EMS) is recording data, which allows the production of an immediate and unbiased report. But reports produced by commercial EMSs have some weaknesses that make difficult the organisational integration of meeting results. In order to contribute to the solution of this problem, it was developed a new system supported in the concept of communication...