jahangircsebuet / ArabicSF

ArabicSF: is a C# application that is consists of a novel Arabic Stylometric Features Tool and other preproccessing tools which are inspired by other works such as Khoja stemmer, Light Stemmer, etc. - ***Note: This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. - If you find this code useful, please cite the following paper: - Mahmoud Al-Ayyoub, Ahmed Alwajeeh and Ismail Hmeidi. An extensive study of authorship authentication of Arabic articles. International Journal of Web Information Systems (IJWIS) 13(1), 2017. doi: 10.1108/IJWIS-03-2016-0011

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ArabicSF

-- ArabicSF: is a C# application that is consists of a novel Arabic Stylometric Features Tool and other preproccessing tools which are inspired by other works such as Khoja stemmer, Light Stemmer, etc.

** Note:

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

If you find this code useful, please cite the following paper:


Also, you might be interested in the following relevant papers:

  • Mahmoud Al-Ayyoub, Yaser Jararweh, Abdullateef Rabab'ah and Monther Aldwairi. Feature Extraction and Selection for Tweets Authorship Authentication. Journal of Ambient Intelligence and Humanized Computing (JAIHC). To appear. doi:10.1007/s12652-017-0452-1
  • Abdullateef Rabab'ah, Mahmoud Al-Ayyoub, Yaser Jararweh and Monther Aldwairi. Authorship Attribution of Arabic Tweets. In the proceedings of the 13th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), 2016.
  • Jafar Albadarneh, Bashar Talafha, Mahmoud Al-Ayyoub, Belal Zaqaibeh, Mohammad Al-Smadi, Yaser Jararweh and Elhadj Benkhelifa. -Using Big Data Analytics for Authorship Authentication of Arabic Tweets. In the proceedings of the 8th IEEE/ACM International Conference on Utility and Cloud Computing (UCC), 2015.
  • Kholoud Alsmearat, Mohammed Shehab, Mahmoud Al-Ayyoub, Riyad Al-Shalabi and Ghassan Kanaan. Emotion Analysis of Arabic Articles and Its Impact on Identifying the Author's Gender. In the proceedings of the 12th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), 2015.
  • Kholoud Alsmearat, Mahmoud Al-Ayyoub and Riyad Al-Shalabi. An Extensive Study of the Bag-of-Words Approach for Gender Identification of Arabic Articles. In the proceedings of the 11th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), 2014.
  • Raddad Abooraig, Ahmed Alwajeeh, Mahmoud Al-Ayyoub and Ismail Hmeidi. On the Automatic Categorization of Arabic Articles Based on Their Political Orientation. In the proceedings of the Third International Conference on Informatics Engineering and Information Science (ICIEIS), 2014.
  • Ahmed Alwajeeh, Mahmoud Al-Ayyoub and Ismail Hmeidi. On Authorship Authentication of Arabic Articles. In the proceedings of the 5th International Conference on Information and Communication Systems (ICICS), IEEE, 2014.

About

ArabicSF: is a C# application that is consists of a novel Arabic Stylometric Features Tool and other preproccessing tools which are inspired by other works such as Khoja stemmer, Light Stemmer, etc. - ***Note: This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. - If you find this code useful, please cite the following paper: - Mahmoud Al-Ayyoub, Ahmed Alwajeeh and Ismail Hmeidi. An extensive study of authorship authentication of Arabic articles. International Journal of Web Information Systems (IJWIS) 13(1), 2017. doi: 10.1108/IJWIS-03-2016-0011


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