Search (24 results, page 2 of 2)

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Abstract

Through their work as instructors in a master of library science program, the authors observed a sharp increase in students' desire to adopt the reader-interest classification approach of genrefication for their school libraries' fiction collections. In order to better understand this trend, the researchers interviewed seven school librarians regarding their motivations for genrefying their libraries' fiction collections; the challenges they encountered during or after the genrefication process; and any benefits they perceived as having resulted in the implementation of genrefication. The data suggest that the librarians' interests in genrefication stem mostly from the lack of time they have to help individual students find materials, and the lack of time students are given out of the instructional day to explore the libraries' fiction collections. The participants felt that reclassifying the library's fiction collection by genre gave students more ownership of the fiction collection and allowed them to find ma-terials that genuinely interested them. The significant challenges the librarians faced in the reorganization process speak to challenges regarding the ways in which librarians attempt to provide access to diverse materials for all patrons.

Type

a

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Abstract

This article describes multiple experiments in text mining at Northern Illinois University that were undertaken to improve the efficiency and accuracy of cataloging. It focuses narrowly on subject analysis of dime novels, a format of inexpensive fiction that was popular in the United States between 1860 and 1915. NIU holds more than 55,000 dime novels in its collections, which it is in the process of comprehensively digitizing. Classification, keyword extraction, named-entity recognition, clustering, and topic modeling are discussed as means of assigning subject headings to improve their discoverability by researchers and to increase the productivity of digitization workflows.

Type

a

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Abstract

Fiction content analysis and retrieval are interesting specific topics for two major reasons: 1) the extensive use of fictional works; and, 2) the multimodality and interpretational nature of fiction. The primary challenge in the analysis of fictional content is that there is no single meaning to be analysed; the analysis is an ongoing process involving an interaction between the text produced by author, the reader and the society in which the interaction occurs. Furthermore, different audiences have specific needs to be taken into consideration. This article explores the topic of fiction knowledge organization, including both classification and indexing. It provides a broad and analytical overview of the literature as well as describing several experimental approaches and developmental projects for the analysis of fictional content. Traditional fiction indexing has been mainly based on the factual aspects of the work; this has then been expanded to handle different aspects of the fictional work. There have been attempts made to develop vocabularies for fiction indexing. All the major classification schemes use the genre and language/culture of fictional works when subdividing fictional works into subclasses. The evolution of shelf classification of fiction and the appearance of different types of digital tools have revolutionized the classification of fiction, making it possible to integrate both indexing and classification of fictional works.

Type

a

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Footnote

Masterarbeit zur Erlangung des akademischen Grades Master of Arts (M. A.)