Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10518641 | Library Collections, Acquisitions, and Technical Services | 2005 | 12 Pages |
Abstract
We present a method for mapping the content of a text collection. This method uses linguistic analysis to relate terms extracted from the texts and clusters them into thematic topics mapped onto a 2D space. While the graphic display of domain topics is useful for several information-driven tasks, the focus of the paper is more on the comparison of journal ranking by productivity (number of published papers in the collection) and by content representativity (ranking by number of terms and clusters). The results show that the two rankings are not identical, thus pointing to possible discrepancies between pure productivity and terminological density.
Related Topics
Social Sciences and Humanities
Social Sciences
Library and Information Sciences
Authors
Fidelia Ibekwe-SanJuan,