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1 Ergebnisse
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Stemming versus multi-words indexing for Arabic documents c..:
, In:
2016 11th International Conference on Intelligent Systems: Theories and Applications (SITA)
,
El Bazzi, Mohamed Salim
;
Zaki, Taher
;
Mammass, Driss
. - p. 1-5 , 2016
Link:
https://doi.org/10.1109/SITA.2016.7772288
RT T1 <cTitle>2016 11th International Conference on Intelligent Systems: Theories and Applications (SITA)</cTitle>: T1 <Title>Stemming versus multi-words indexing for Arabic documents classification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-7772288&Exemplar=1&LAN=DE A1 El Bazzi, Mohamed Salim A1 Zaki, Taher A1 Mammass, Driss A1 Ennaji, Abdelatif YR 2016 SN 2378-2536 K1 Indexing K1 Text mining K1 Feature extraction K1 Support vector machines K1 Semantics K1 Information retrieval K1 Text categorization K1 text indexing K1 documents classification K1 semantic K1 TF-IDF K1 multi-words SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/SITA.2016.7772288 DO https://doi.org/10.1109/SITA.2016.7772288 SF ELIB - SuUB Bremen
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