A multi-criteria approach for Arabic dialect sentiment analysis for online reviews: Exploiting optimal machine learning algorithm selection
A sentiment analysis of Arabic texts is an important task in many commercial applications such as Twitter. This study introduces a multi-criteria method to empirically assess and rank classifiers for Arabic sentiment analysis. Prominent machine learning algorithms were deployed to build classificati...
Saved in:
Main Authors: | Abo, Mohamed Elhag Mohamed, Idris, Norisma, Mahmud, Rohana, Qazi, Atika, Hashem, Ibrahim Abaker Targio, Maitama, Jaafar Zubairu, Naseem, Usman, Khan, Shah Khalid, Yang, Shuiqing |
---|---|
Format: | Article |
Published: |
MDPI
2021
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/34132/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A translation model using hybrid approaches to improve Arabizi dialect sentiment analysis in business tweet’s / Mohamed Elhag Mohamed Abo
by: Mohamed Elhag , Mohamed Abo
Published: (2022) -
A systematic mapping study of the empirical explicit aspect extractions in sentiment analysis
by: Maitama, Jaafar Zubairu, et al.
Published: (2020) -
A systematic review on implicit and explicit aspect extraction in sentiment analysis
by: Maitama, Jaafar Zubairu, et al.
Published: (2020) -
Optimisation model for scheduling MapReduce jobs in big data processing / Ibrahim Abaker Targio Hashem
by: Ibrahim Abaker , Targio Hashem
Published: (2017) -
Root Exploit Detection and Features Optimization: Mobile Device and Blockchain Based Medical Data Management
by: Firdaus, Ahmad, et al.
Published: (2018)