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Social Network Analysis and Mining
Erschienen in: Social Network Analysis and Mining 1/2017

01.12.2017 | Review Article

Successes and challenges of Arabic sentiment analysis research: a literature review

verfasst von: Mazen El-Masri, Nabeela Altrabsheh, Hanady Mansour

Erschienen in: Social Network Analysis and Mining | Ausgabe 1/2017

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Abstract

The 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.
Vorheriger Artikel Introduction to the topical issue on semantic social networks and media applications
Nächster Artikel Understanding and forecasting lifecycle events in information cascades

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Metadaten
Titel
Successes and challenges of Arabic sentiment analysis research: a literature review
verfasst von
Mazen El-Masri
Nabeela Altrabsheh
Hanady Mansour
Publikationsdatum
01.12.2017
Verlag
Springer Vienna
Erschienen in
Social Network Analysis and Mining / Ausgabe 1/2017
Print ISSN: 1869-5450
Elektronische ISSN: 1869-5469
DOI
https://doi.org/10.1007/s13278-017-0474-x

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