TY  - JOUR
TT  - TOPIC MODEL  IMPLEMENTATION TO FIND RELATED DOCUMENTS IN CORPORATE ARCHIVES IN  REAL LIFE: “A CASE SCENARIO ON KNOWLEDGE RETRIEVAL”
AU  - Medeni, İhsan Tolga
AU  - Medeni, Tunç Durmuş
PY  - 2013
DA  - June
JF  - International Journal of eBusiness and eGovernment Studies
JO  - IJEBEG
PB  - Sosyal Bilimler Araştırmaları Derneği
WT  - DergiPark
SN  - 2146-0744
SP  - 98
EP  - 107
VL  - 5
IS  - 1
KW  - Topic Model
KW  - Knowledge Extraction
KW  - Latent Semantic Analysis (LSA)
KW  - Probabilistic Latent Semantic Analysis (pLSA)
KW  - Latent Dirichlet Allocation (LDA)
N2  - 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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UR  - https://dergipark.org.tr/en/pub/ijebeg/issue//275912
L1  - https://dergipark.org.tr/en/download/article-file/257109
ER  -