Log in to save to my catalogue

A Multi-Criteria Approach for Arabic Dialect Sentiment Analysis for Online Reviews: Exploiting Optim...

A Multi-Criteria Approach for Arabic Dialect Sentiment Analysis for Online Reviews: Exploiting Optim...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2576527538

A Multi-Criteria Approach for Arabic Dialect Sentiment Analysis for Online Reviews: Exploiting Optimal Machine Learning Algorithm Selection

About this item

Full title

A Multi-Criteria Approach for Arabic Dialect Sentiment Analysis for Online Reviews: Exploiting Optimal Machine Learning Algorithm Selection

Publisher

Basel: MDPI AG

Journal title

Sustainability, 2021-09, Vol.13 (18), p.10018

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

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 classification models for Arabic sentiment analysis classifier...

Alternative Titles

Full title

A Multi-Criteria Approach for Arabic Dialect Sentiment Analysis for Online Reviews: Exploiting Optimal Machine Learning Algorithm Selection

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2576527538

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2576527538

Other Identifiers

ISSN

2071-1050

E-ISSN

2071-1050

DOI

10.3390/su131810018

How to access this item