Evaluating the Impact of the Long-S upon 18th-century Encyclopedia Britannica Automatic Subject Metadata Generation Results.
This research compares automatic subject metadata generation when the pre-1800s Long-S character is corrected to a standard < s >. The test environment includes entries from the third edition of the Encyclopedia Britannica, and the HIVE automatic subject indexing tool. A comparative study of metadat...
| Publicado en: | Information Technology & Libraries Vol. 39; no. 3; pp. 1 - 14 |
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| Autor principal: | |
| Formato: | research tables/charts Journal Article |
| Publicado: |
American Library Association
2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | This research compares automatic subject metadata generation when the pre-1800s Long-S character is corrected to a standard < s >. The test environment includes entries from the third edition of the Encyclopedia Britannica, and the HIVE automatic subject indexing tool. A comparative study of metadata generated before and after correction of the Long-S demonstrated an average of 26.51 percent potentially relevant terms per entry omitted from results if the Long-S is not corrected. Results confirm that correcting the Long-S increases the availability of terms that can be used for creating quality metadata records. A relationship is also demonstrated between shorter entries and an increase in omitted terms when the Long-S is not corrected. |
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