Genre identification is a critical facet of text comprehension, but very little is known about the process and information constraints of classifying texts by genres. In this study, higherskill and lower-skill participants read 210 sentences from three genres. The words in the sentences were presented sequentially, one at a time. With each new word, participants decided whether the sentences ca...

This paper discusses an approach for the feature extraction for audio genre classification and many other tasks of music information retrieval (MIR). Many musical genres are characterized not only by timbral information but also by temporal features such as rhythm patterns and bass-line patterns. In particular, modern music pieces mostly have certain fixed rhythm and bass-line patterns per genr...

In recent years, information systems (IS) outsourcing is increasing in business organizations as a way to govern their IS operations. Burgeoning IS costs, lack of IS organization's responsiveness to users, and a renewed emphasis on return on IS investment are among some of the reasons towards this trend. Media reports are almost unanimous, and at times euphoric, in their claims of benefits. How...

An online discussion forum becomes more significant in facilitating people to share opinions. Companies must understand how consumers use the online forum. We study an influential online discussion forum in Thailand, Pantip.com, in order to classify user behaviors in the cosmetic discussion forum. We adopt the concept of genre and genre repertoire to assist our content analysis. We analyze 77 d...

is fundamental to the conduct of contemporary science, there has been little research into this topic in information studies. This article reports on a study in which, using ethnographic methods, the author studied record-keeping as it is practiced in a basic research science laboratory. The process by which the record is created to reflect both personal need and professional norms is framed as...

Book covers communicate information to potential readers, but can that same information be learned by computers? We propose using a deep Convolutional Neural Network (CNN) to predict the genre of a book based on the visual clues provided by its cover. The purpose of this research is to investigate whether relationships between books and their covers can be learned. However, determining the genr...

On the World Wide Web, page previews augment hyperlinks to provide extra information about each link’s destination. These previews can reduce navigation time and errors in goal-directed navigation tasks when the information provided by the text and context of links is inadequate. A number of different types of page previews have been proposed, and some are already in use; however, little is kno...

As the text databases available to users become larger and more heterogeneous, genre becomes increasingly important for computational linguistics as a complement to topical and structural principles of classification. We propose a theory of genres as bundles of facets, which correlate with various surface cues, and argue that genre detection based on surface cues is as successful as detection b...

Movie ratings play an important role both in determining the likelihood of a potential viewer to watch the movie and in reflecting the current viewer satisfaction with the movie. They are available in several sources like the television guide, best-selling reference books, newspaper columns, and television programs. Furthermore, movie ratings are crucial for recommendation engines that track th...

An interactive information retrieval system that provides different types of summaries of retrieved documents according to each user’s information needs can be effective for understanding the contents. The purpose of this study is to build a multi-document summarizer to produce summaries according to such viewpoints. As an exploratory stage of investigation, we examined the effectiveness of gen...