Term Weighting Approaches in Automatic Text Retrieval
| dc.contributor.author | Salton, Gerard | en_US |
| dc.contributor.author | Buckley, Chris | en_US |
| dc.date.accessioned | 2007-04-23T17:23:03Z | |
| dc.date.available | 2007-04-23T17:23:03Z | |
| dc.date.issued | 1987-11 | en_US |
| dc.description.abstract | The experimental evidence accumulated over the past 20 years indicates that textindexing systems based on the assignment of appropriately weighted single terms produce retrieval results that are superior to those obtainable with other more elaborate text representations. These results depend crucially on the choice of effective term weighting systems. This paper summarizes the insights gained in automatic term weighting, and provides baseline single term indexing models with which other more elaborate content analysis procedures can be compared. | en_US |
| dc.format.extent | 1567525 bytes | |
| dc.format.extent | 394754 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.format.mimetype | application/postscript | |
| dc.identifier.citation | http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR87-881 | en_US |
| dc.identifier.uri | https://hdl.handle.net/1813/6721 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Cornell University | en_US |
| dc.subject | computer science | en_US |
| dc.subject | technical report | en_US |
| dc.title | Term Weighting Approaches in Automatic Text Retrieval | en_US |
| dc.type | technical report | en_US |