Difference between revisions of "A Simple Scheme for Book Classification Using Wikipedia"
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| − | '''A Simple Scheme for Book Classification Using Wikipedia''' - scientific work related to Wikipedia quality published in 2011, written by Andromeda Yelton. | + | '''A Simple Scheme for Book Classification Using Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2011, written by [[Andromeda Yelton]]. |
== Overview == | == Overview == | ||
| − | Because the rate at which documents are being generated outstrips librarians’ ability to catalog them, an accurate, automated scheme of subject classification is desirable. However, simplistic word-counting schemes miss many important concepts; librarians must enrich algorithms with background knowledge to escape basic problems such as polysemy and synonymy. Author have developed a script that uses Wikipedia as context for analyzing the subjects of nonfiction books. Though a simple method built quickly from freely available parts, it is partially successful, suggesting the promise of such an approach for future research. | + | Because the rate at which documents are being generated outstrips librarians’ ability to catalog them, an accurate, automated scheme of subject classification is desirable. However, simplistic word-counting schemes miss many important concepts; librarians must enrich algorithms with background knowledge to escape basic problems such as polysemy and synonymy. Author have developed a script that uses [[Wikipedia]] as context for analyzing the subjects of nonfiction books. Though a simple method built quickly from freely available parts, it is partially successful, suggesting the promise of such an approach for future research. |
Revision as of 09:43, 14 November 2019
A Simple Scheme for Book Classification Using Wikipedia - scientific work related to Wikipedia quality published in 2011, written by Andromeda Yelton.
Overview
Because the rate at which documents are being generated outstrips librarians’ ability to catalog them, an accurate, automated scheme of subject classification is desirable. However, simplistic word-counting schemes miss many important concepts; librarians must enrich algorithms with background knowledge to escape basic problems such as polysemy and synonymy. Author have developed a script that uses Wikipedia as context for analyzing the subjects of nonfiction books. Though a simple method built quickly from freely available parts, it is partially successful, suggesting the promise of such an approach for future research.
