Naslov
Algorithm for classification of textual documents represented by Tandem analysis

Autori
Dobša, Jasminka

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceeding of Conference on Data Mining and Data Warehouses 2014 / Grobelnik ; Marko ; Mladenić, Dunja - , 2014, 1-4

Skup
Conference on Data Mining and Data Warehouses

Mjesto i datum
Ljubljana, Slovenija, 06.10.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

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

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti

POVEZANOST RADA