A study of the performance of embedding methods for Arabic short-text sentiment analysis using deep learning approaches

A study of the performance of embedding methods for Arabic short-text sentiment analysis using deep learning approaches

Sentiment analysis aims to classify a text according to sentimental polarities of people’s opinions, such as positive, negative, or neutral. While most of the studies focus on eliciting features from English text, the research on Arabic is limited due to the morphological and grammatical complexity...

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Bibliographic Details
Main Authors: Ali Alwehaibi, Marwan Bikdash, Mohammad Albogmi, Kaushik Roy
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Arabic short-text
Sentiment analysis
Deep learning
Embedding
Ensemble
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157821001786

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