A review of sentiment analysis research in Arabic language
May 25, 2020 ยท The Cartographer ยท ๐ Future generations computer systems
"No code URL or promise found in abstract"
"Title-pattern auto-detect: A review of sentiment analysis research in Arabic language"
Evidence collected by the PWNC Scanner
Authors
Oumaima Oueslati, Erik Cambria, Moez Ben HajHmida, Habib Ounelli
arXiv ID
2005.12240
Category
cs.CL: Computation & Language
Citations
190
Venue
Future generations computer systems
Last Checked
1 day ago
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.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Computation & Language
๐
๐
Old Age
๐
๐
Old Age
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
๐
๐
Old Age
XLNet: Generalized Autoregressive Pretraining for Language Understanding
๐๏ธ
๐๏ธ
Transcended
Effective Approaches to Attention-based Neural Machine Translation
๐
๐
Old Age
A large annotated corpus for learning natural language inference
๐
๐
Old Age