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A Faceted Classification Analysis of TV content: Using News and Current Affairs Programs
- jiyoung_shim@yonsei.ac.kr
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Abstract
This study aims to provide intellectual access to TV content using faceted classification. In order to describe the content of news and current affairs programs, a faceted approach was explored. Based on the Ranganathan’s PMEST formula, the basic facets - ‘who’, ‘what’, ‘how’, ‘where’, ‘when’ - and their sub-facets were created, specifically for describing the news genre. Additionally, the formal structure and the contextual features of the news genre were mainly considered for creating sub-facets. These created facets were applied to a news genre program. The result shows that these suggested facets are useful for representing well the contextual components of the news genre. The application of faceted classification is expected to improve the identification of the specific TV content.
- keywords
- TV content, news and current affairs programs, faceted classification, facet analysis
- Submission Date
- 2014-08-20
- Revised Date
- 2014-08-29
- Accepted Date
- 2014-09-17
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