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Social Network Analysis and Mining

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01-12-2023 | Original Article

Contribution to the Moroccan Darija sentiment analysis in social networks

Authors: Sara El Ouahabi, Safâa El Ouahabi, El Wardani Dadi

Published in: Social Network Analysis and Mining | Issue 1/2023

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Abstract

This article focuses on the sentiment analysis of Moroccan Darija in social networks, addressing the scarcity of research in this area. It introduces a new dataset of 34,060 annotated comments from various social media platforms, covering multiple domains and topics. The study compares the performance of traditional machine learning models and transformer-based models like BERT, highlighting the effectiveness of different feature extraction techniques. The results show that transformer-based models, particularly BERT, achieve high accuracy in sentiment classification, demonstrating the potential for further advancements in this field. The paper concludes with a call for continued research into larger datasets and hybrid approaches to improve multi-class classification accuracy.

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Title: Contribution to the Moroccan Darija sentiment analysis in social networks
Authors: Sara El Ouahabi
Safâa El Ouahabi
El Wardani Dadi
Publication date: 01-12-2023
Publisher: Springer Vienna
Published in: Social Network Analysis and Mining / Issue 1/2023
Print ISSN: 1869-5450
Electronic ISSN: 1869-5469
DOI: https://doi.org/10.1007/s13278-023-01129-1

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Contribution to the Moroccan Darija sentiment analysis in social networks

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Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Springer Professional "Technik"

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