dc.contributor.author | Süzek, Tuğba Önal | |
dc.date.accessioned | 2020-11-20T14:54:43Z | |
dc.date.available | 2020-11-20T14:54:43Z | |
dc.date.issued | 2017 | |
dc.identifier.issn | 1300-0632 | |
dc.identifier.issn | 1303-6203 | |
dc.identifier.uri | https://doi.org/10.3906/elk-1511-203 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12809/2169 | |
dc.description | WOS: 000404385700015 | en_US |
dc.description.abstract | In this study, we describe a keyword extraction technique that uses latent semantic analysis (LSA) to identify semantically important single topic words or keywords. We compare our method against two other automated keyword extractors, Tf-idf (term frequency-inverse document frequency) and Metamap, using human-annotated keywords as a reference. Our results suggest that the LSA-based keyword extraction method performs comparably to the other techniques. Therefore, in an incremental update setting, the LSA-based keyword extraction method can be preferably used to extract keywords from text descriptions from big data when compared to existing keyword extraction methods. | en_US |
dc.description.sponsorship | TUBITAK 2232 Reintegration FellowshipTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [113C030] | en_US |
dc.description.sponsorship | This work was supported in part by the TUBITAK 2232 Reintegration Fellowship Grant 113C030. | en_US |
dc.item-language.iso | eng | en_US |
dc.publisher | Tubitak Scientific & Technical Research Council Turkey | en_US |
dc.item-rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Bioinformatics | en_US |
dc.subject | Text Mining | en_US |
dc.subject | Information Retrieval | en_US |
dc.title | Using latent semantic analysis for automated keyword extraction from large document corpora | en_US |
dc.item-type | article | en_US |
dc.contributor.department | MÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
dc.contributor.institutionauthor | Süzek, Tuğba Önal | |
dc.identifier.doi | 10.3906/elk-1511-203 | |
dc.identifier.volume | 25 | en_US |
dc.identifier.issue | 3 | en_US |
dc.identifier.startpage | 1784 | en_US |
dc.identifier.endpage | 1794 | en_US |
dc.relation.journal | Turkish Journal of Electrical Engineering and Computer Sciences | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |