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Development of Open-Source Software for Arabic Text Stemming and Classification
Abstract:
This paper presents implementation of a software tool for Arabic text stemming and classification. The software tool is based on open source implementation of the Lucene based Light stemmer for Arabic language and it enables stemming and classification into 12 categories (religion, economics, sports, science, computers, history, medicine, entertainment, engineering, literature, politics and food).
CITATION:
IEEE format
A. Ali Nasef, M. Marjanović Jakovljević, “Development of Open-Source Software for Arabic Text Stemming and Classification,” in Sinteza 2016 - International Scientific Conference on ICT and E-Business Related Research, Belgrade, Singidunum University, Serbia, 2016, pp. 271-276. doi:10.15308/Sinteza-2016-271-276
APA format
Ali Nasef, A., Marjanović Jakovljević, M. (2016). Development of Open-Source Software for Arabic Text Stemming and Classification. Paper presented at Sinteza 2016 - International Scientific Conference on ICT and E-Business Related Research. doi:10.15308/Sinteza-2016-271-276
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