Arabic Text Classification Framework Based on Latent Dirichlet Allocation

CIT. Journal of Computing and Information Technology

Maraoui, Mohsen³  Ayadi, Rami²  Mars, Mourad¹  Zrigui, Mounir⁴ 

[1] Stendhal University, Grenoble, France;Faculty of Economics and Management, University of Sfax, Tunisia;University of Monastir, Tunisia;LaTICE Laboratory (Research Unit of Monastir ), University of Monastir, Tunisia

关键词: LDA;    Arabic;    stemming algorithm;    text classification;    SVM;   

DOI  :  

学科分类：计算机科学（综合）

来源: Sveuciliste u Zagrebu

【 摘 要 】

In this paper, we present a new algorithm based on the LDA (Latent Dirichlet Allocation) and the Support Vector Machine (SVM) used in the classification of Arabic texts. Current research usually adopts Vector Space Model to represent...

【 授权许可】

Unknown