A review of sentiment analysis research in Arabic language
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 st...
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sg-ntu-dr.10356-1545602021-12-28T06:22:11Z A review of sentiment analysis research in Arabic language Oueslati, Oumaima Cambria, Erik HajHmida, Moez Ben Ounelli, Habib School of Computer Science and Engineering Engineering::Computer science and engineering Arabic Sentiment Analysis Arabic Sentiments Resources 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. 2021-12-28T06:22:10Z 2021-12-28T06:22:10Z 2020 Journal Article 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 0167-739X https://hdl.handle.net/10356/154560 10.1016/j.future.2020.05.034 2-s2.0-85085729308 112 408 430 en Future Generation Computer Systems © 2020 Elsevier B.V. All rights reserved. |
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Engineering::Computer science and engineering Arabic Sentiment Analysis Arabic Sentiments Resources Oueslati, Oumaima Cambria, Erik HajHmida, Moez Ben Ounelli, Habib A review of sentiment analysis research in Arabic language |
description |
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. |
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School of Computer Science and Engineering |
author_facet |
School of Computer Science and Engineering Oueslati, Oumaima Cambria, Erik HajHmida, Moez Ben Ounelli, Habib |
format |
Article |
author |
Oueslati, Oumaima Cambria, Erik HajHmida, Moez Ben Ounelli, Habib |
author_sort |
Oueslati, Oumaima |
title |
A review of sentiment analysis research in Arabic language |
title_short |
A review of sentiment analysis research in Arabic language |
title_full |
A review of sentiment analysis research in Arabic language |
title_fullStr |
A review of sentiment analysis research in Arabic language |
title_full_unstemmed |
A review of sentiment analysis research in Arabic language |
title_sort |
review of sentiment analysis research in arabic language |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/154560 |
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1720447166812520448 |