Topic Model Implementation To Find Related Documents In Corporate Archives In Real Life: “A Case Scenario On Knowledge Retrieval”
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Date
2013
Authors
Medeni, İhsan Tolga
Medeni, Tunç Durmuş
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Open Access Color
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Abstract
Today’s organizations were mostly built over their documents. These documents are very crucial sources of knowledge. Even they know the existence of these documents, most of the time, it is nearly impossible to extract captive knowledge inside. In these conditions, organizations choose re-prepare same document again rather than finding proper documents in the archives. On the other hand, finding these documents would save precious time and decrease redundancy of the work. Topic model idea basically focuses on extraction of knowledge from these types of documents. In this study, our aim is to give a summary of Topic Model research and try to explain latest model concept over an imaginary case scenario
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Topic Model, Knowledge Extraction, Latent Semantic Analysis (LSA), Probabilistic Latent Semantic Analysis (pLSA), Latent Dirichlet Allocation (LDA)
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Citation
Medeni, İhsan Tolga; Medeni, Tunç Durmuş (2013). "Topic Model Implementation To Find Related Documents In Corporate Archives In Real Life: “A Case Scenario On Knowledge Retrieval”", International Journal of eBusiness and eGovernment Studies, Vol.5, No.1, pp.98-107.
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Source
International Journal of eBusiness and eGovernment Studies
Volume
5
Issue
1
Start Page
98
End Page
107