Music Information Retrieval (MIR) is a multi-disciplinary research area that aims to automate the access to largevolume music data, including browsing, retrieval, storage, etc. The work that we present in this paper tackles a nontrivial problem in the field, namely music genre classification, which is one of the core tasks in MIR. In our proposed approach, we make use of association analysis to...

The dynamic nature of web and with the increase of the number of web pages, it is very difficult to search required web pages easily and quickly out of thousands of web pages retrieved by a search engine. The solution to this problem is to classify the web pages according to their genre. Automatic genre identification of web pages has become an important area in web page classification, because...

The content of a webpage is usually contained within a small body of text and images, or perhaps several articles on the same page; however, the content may be lost in the clutter (defined as cosmetic features such as animations, menus, sidebars, obtrusive banners). Automatic content extraction has many applications, including browsing on small cell phone and PDA screens, speech rendering for t...

POS tagging and dependency parsing achieve good results for homogeneous datasets. However, these tasks are much more difficult on heterogeneous datasets. In (Mukherjee et al., 2016, 2017), we address this issue by creating genre experts for both POS tagging and parsing. We use topic modeling to automatically separate training and test data into genres and to create annotation experts per genre ...

The previous chapter reviewed three traditions of genre studies, namely, the new rhetoric, systemic functional and ESP perspectives on genre. While new rhetoric genre analyses focus on the interrelation between text and context and SFL genre studies stress the linguistic analysis of text, ESP approaches to genre take an approach that is some way between these two. This chapter extends the discu...

Assessments of the truthfulness or otherwise documentaries are best understood as genre conventions which vary historically. Genre shared between audiences, filmmakers and institutions. Beliefs about acceptable use fictional techniques in documentary storytelling, particularly television, subject to occasional public controversies. The move from photographic digital processes underlay one such ...