Development of Open-Source Software for Arabic Text Stemming and Classification
Development of Open-Source Software for Arabic Text Stemming and Classification
Autori:
Izdanje: Sinteza 2016 - International Scientific Conference on ICT and E-Business Related Research
Apstrakt:
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).
Ključne reči: arabic language, text mining, stemming, text classification, open source code
Kategorije objave:
Radovi na konferenciji Sinteza 2016, Beograd, Srbija
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@article{article, author = {A. Ali Nasef and M. Marjanović Jakovljević}, title = {Development of Open-Source Software for Arabic Text Stemming and Classification}, journal = {Sinteza 2016 - International Scientific Conference on ICT and E-Business Related Research}, year = 2016, doi = {10.15308/Sinteza-2016-271-276} }
RT Conference Proceedings A1 Ashrf Ali Nasef A1 Marina Marjanović Jakovljević T1 Development of Open-Source Software for Arabic Text Stemming and Classification AD International Scientific Conference Sinteza, Beograd, Srbija YR 2016 NO doi: 10.15308/Sinteza-2016-271-276
A. Ali Nasef and M. Marjanović Jakovljević, Development of Open-Source Software for Arabic Text Stemming and Classification, International Scientific Conference Sinteza, 2016, doi:10.15308/Sinteza-2016-271-276