Development of Open-Source Software for Arabic Text Stemming and Classification

Izdanje: Sinteza 2016 - International Scientific Conference on ICT and E-Business Related Research

DOI: 10.15308/Sinteza-2016-271-276

Link: https://doi.org/10.15308/Sinteza-2016-271-276

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

Preuzimanje citata:

BibTeX format
@article{article,
  author  = {M. Marjanović Jakovljević and A. Ali Nasef}, 
  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}
}
RefWorks Tagged format
RT Conference Proceedings
A1 Marina Marjanović Jakovljević
A1 Ashrf Ali Nasef
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
Unapred formatirani prikaz citata
M. Marjanović Jakovljević and A. Ali Nasef, Development of Open-Source Software for Arabic Text Stemming and Classification, International Scientific Conference Sinteza, 2016, doi:10.15308/Sinteza-2016-271-276