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MSA-Moroccan Dialect: A Multimodal Sentiment Analysis Dataset for Moroccan Arabic (Darija)

Domain:

natural language processing

Record type:

dataset
Creator:
AyoNfa
Editor:
Uni
Publisher:
Men
Host:avatar
This dataset provides the first publicly available multimodal resource for sentiment analysis in Moroccan Arabic (Darija). It consists of 3,040 samples extracted from authentic Moroccan podcasts, each containing aligned text (transcript), audio (speech waveform), and visual (features) modalities. Samples are manually annotated with sentiment labels (positive, negative, neutral) by native speakers. The dataset is designed to support research in multimodal machine learning, cross-modal fusion, and low-resource dialectal NLP.

Visit

doi.orgdata.mendeley.com

Tasks

sentiment analysisspeech processingtext classification

Languages

Arabic, Algerian SpokenArabic, Moroccan Spoken

Tags

Computer ScienceArtificial IntelligenceComputer VisionNatural Language ProcessingSpeech AnalysisArabic LanguageMultimodality StudiesSentiment AnalysisLarge Language Model

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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