Earlier linguistic studies of political discourse revealed that, not many works exist on pragmatic analysis of impoliteness in this genre. Apart from Mullany (2002), who employs relational and face works to analyses impoliteness in political discourse, Taiwo (2007), Adetunji (2009), and Ademilokun (2015), who employ discourse analytical tools in analyzing the political speeches, there exist ver...

We describe a system for automatic chord transcription from the raw audio using genre-specific hidden Markov models trained on audio-from-symbolic data. In order to avoid enormous amount of human labor required to manually annotate the chord labels for ground-truth, we use symbolic data such as MIDI files to automate the labeling process. In parallel, we synthesize the same symbolic files to pr...

Any automatic music genre recognition (MGR) system must show its value in tests against a ground truth dataset. Recently, the public dataset most often used for this purpose has been proven problematic, because of mislabeling, duplications, and its relatively small size. Another dataset, the Million Song Dataset (MSD), a collection of features and metadata for one million tracks, unfortunately ...

Webpages are mainly distinguished by their topic (e.g., politics, sports etc.) and genre (e.g., blogs, homepages, e-shops, etc.). Automatic detection of webpage genre could considerably enhance the ability of modern search engines to focus on the requirements of the user’s information need. In this paper, we present an approach to webpage genre detection based on a fully-automated extraction of...

The concept of genre is as old as literary theory itself, but centuries of debate haven’t produced much consensus on the topic. Part of the reason is that genre looks like a different thing at different points in the life of a text. Scholars of rhetoric tend to focus on the patterns of communicative action that produce memoranda or tragedies (Devitt 2004; Miller 1984). Sociologists are sometime...

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...

Retrieving relevant documents over the Web is an overwhelming task when search engines return thousands of Web documents. Sifting through these documents is time-consuming and sometimes leads to an unsuccessful search. One problem is that most search engines rely on matching a query to documents based solely on topical keywords. However, many users of search engines have a particular genre in m...

Musical genres are categorical labels created by humans to characterize pieces of music. A musical genre is characterized by the common characteristics shared by its members. These characteristics typically are related to the instrumentation, rhythmic structure, and harmonic content of the music. Genre hierarchies are commonly used to structure the large collections of music available on the We...

Genre recognition is a critical facet of text comprehension. In this study, we assess the minimum number of words in a sentence necessary for genre recognition to occur. Using corpora of Narrative, History, and Science sentences, we found that three experts in discourse psychology (demonstrating high agreement) accurately recognized the genre of over 80% of the sentences. This recognition gener...

While large data dependent techniques have made advances in between-genre classification, the identification of subtypes within a genre has largely been overlooked. In this paper, we approach automatic classification of within-genre Bundeli folk music into its subgenres; Gaari, Rai and Phag. Bundeli, which is a dominant dialect spoken in a large belt of Uttar Pradesh and Madhya Pradesh has a ri...