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المؤلفEl-Masri, Mazen
المؤلفAltrabsheh, Nabeela
المؤلفMansour, Hanady
تاريخ الإتاحة2020-08-27T12:05:51Z
تاريخ النشر2017
اسم المنشورSocial Network Analysis and Mining
المصدرScopus
الرقم المعياري الدولي للكتاب18695450
معرّف المصادر الموحدhttp://dx.doi.org/10.1007/s13278-017-0474-x
معرّف المصادر الموحدhttp://hdl.handle.net/10576/15826
الملخصThe analysis of sentiment in text has mainly been focused on the English language. The complexity of the Arabic language and its linguistic features that oppose those found in English resulted in the inability to adapt extant research to Arabic contexts limiting advancement in Arabic sentiment analysis. The need for Arabic sentiment analysis research is accentuated by the driving changes in different Arab regions like heavy political movements in some areas and fast growth in others. These changes help shape not just policies and implications of this region but affect the entire world on a global scale. Therefore, it is essential to utilise effective methods of sentiment analysis to analyse Arabic tweets to understand regional and global implications in microblogging mediums such as Twitter. In this paper, we conduct a comprehensive review of Arabic sentiment analysis, present the pros and cons of the different approaches used and highlight the challenges of it. Finally, we outline the relevant gaps in the literature and suggest recommendations for future Arabic sentiment analysis research. - 2017, Springer-Verlag GmbH Austria.
راعي المشروعThis publication was made possible by the NPRP award [NPRP 7-1334-6-039 PR3] from the Qatar National Research Fund (a member of The Qatar Foundation). The statements made herein are solely the responsibility of the author[s].
اللغةen
الناشرSpringer-Verlag Wien
الموضوعArabic
Arabic sentiment analysis
Opinion mining
العنوانSuccesses and challenges of Arabic sentiment analysis research: a literature review
النوعArticle Review
رقم العدد1
رقم المجلد7
dc.accessType Abstract Only


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