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Algorithm for classification of textual documents represented by Tandem analysis (CROSBI ID 615362)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Dobša, Jasminka Algorithm for classification of textual documents represented by Tandem analysis // Proceeding of Conference on Data Mining and Data Warehouses 2014 / Grobelnik ; Marko ; Mladenić, Dunja (ur.). 2014. str. 1-4

Podaci o odgovornosti

Dobša, Jasminka

engleski

Algorithm for classification of textual documents represented by Tandem analysis

In this research is presented algorithm for classification of textual documents which are represented in the space of reduced dimension in respect to original bag of words representation. Algorithm is carried out in two steps: in the first step classification is conducted for documents represented in original bag of words representation, while in the second step classification is conducted for documents represented in the space of reduced dimension. Reduction of dimensionality is obtained also in two steps: in the first step documents are represented by usage of latent semantic indexing, while in the second step this representation is projected on the space of membership matrix defining a membership of documents in classes. Evaluation of algorithm is conducted on Reuters21578 collection of documents.

classification of textual documents ; latent semantic indexing ; Tandem analysis ; support vector machines

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Podaci o prilogu

1-4.

2014.

objavljeno

Podaci o matičnoj publikaciji

Proceeding of Conference on Data Mining and Data Warehouses 2014

Grobelnik ; Marko ; Mladenić, Dunja

Podaci o skupu

Conference on Data Mining and Data Warehouses

predavanje

06.10.2014-06.10.2014

Ljubljana, Slovenija

Povezanost rada

Informacijske i komunikacijske znanosti, Računarstvo

Poveznice