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Title |
Investigating Predictive Features for Authorship Verification of Arabic Tweets |
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Author |
Fatimah Alqahtani, Mischa Dohler |
| Citation |
Vol. 22 No. 6 pp. 115-126 |
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Abstract |
The goal of this research is to look into different techniques to solve the problem of authorship verification for Arabic short writings. Despite the widespread usage of Twitter among Arabs, short text research has so far focused on authorship verification in languages other than Arabic, such as English, Spanish, and Greek. To the best of the researcher's knowledge, no study has looked into the task of verifying Arabic-language Twitter texts. The impact of Stylometric and TF-IDF features of very brief texts (Arabic Twitter postings) on user verification was explored in this study. In addition, an analytical analysis was done to see how meta-data from Twitter tweets, such as time and source, can help to verify users perform better. This research is significant on the subject of cyber security in Arabic countries. |
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Keywords |
Authorship verification, Stylometry, Arabic, short texts. |
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