Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/154560
Title: A review of sentiment analysis research in Arabic language
Authors: Oueslati, Oumaima
Cambria, Erik
HajHmida, Moez Ben
Ounelli, Habib
Keywords: Engineering::Computer science and engineering
Issue Date: 2020
Source: Oueslati, O., Cambria, E., HajHmida, M. B. & Ounelli, H. (2020). A review of sentiment analysis research in Arabic language. Future Generation Computer Systems, 112, 408-430. https://dx.doi.org/10.1016/j.future.2020.05.034
Journal: Future Generation Computer Systems
Abstract: Sentiment analysis is a task of natural language processing which has recently attracted increasing attention. However, sentiment analysis research has mainly been carried out for the English language. Although Arabic is ramping up as one of the most used languages on the Internet, only a few studies have focused on Arabic sentiment analysis so far. In this paper, we carry out an in-depth qualitative study of the most important research works in this context by presenting limits and strengths of existing approaches. In particular, we survey both approaches that leverage machine translation or transfer learning to adapt English resources to Arabic and approaches that stem directly from the Arabic language.
URI: https://hdl.handle.net/10356/154560
ISSN: 0167-739X
DOI: 10.1016/j.future.2020.05.034
Rights: © 2020 Elsevier B.V. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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