Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Multilingual, monolingual and mono-dialectal transfer learning for Moroccan Arabic sentiment classification

Type de record:

paper
Créateur:
NaaRdoRac
Éditeur:
Spr
Hôte:

Visit

doi.org

Tasks

sentiment analysistext classificationtransfer learning

Languages

Arabic, Moroccan Spoken

Licenses

https://www.springernature.com/gp/researchers/text-and-data-mininghttps://www.springernature.com/gp/researchers/text-and-data-mining

Similaires

Cross-Multilingual, Cross-Lingual and Monolingual Transfer Learning For Arabic Dialect Sentiment ClassificationSemi-supervised and Transfer learning approaches for low resource sentiment classificationImproving Dialectal Sentiment Analysis: A Contextual Approach Using Multilingual Embeddings for Darija and Other Arabic Dialects TranscodingNollySenti: Leveraging Transfer Learning and Machine Translation for Nigerian Movie Sentiment ClassificationAutomatic classification of multilingual occupations using transfer learningCross-Dialectal Transfer for Low-Resource Arabic: The Tunisian Arabic Dependency Treebank

Cross-Multilingual, Cross-Lingual and Monolingual Transfer Learning For Arabic Dialect Sentiment Classification

Abstract Transfer learning have recently proven to be very powerful in diverse Natural lan

Semi-supervised and Transfer learning approaches for low resource sentiment classification

Sentiment classification involves quantifying the affective reaction of a human to a document, media

Improving Dialectal Sentiment Analysis: A Contextual Approach Using Multilingual Embeddings for Darija and Other Arabic Dialects Transcoding

NollySenti: Leveraging Transfer Learning and Machine Translation for Nigerian Movie Sentiment Classification

Africa has over 2000 indigenous languages but they are under-represented in NLP research due to lack of datasets. In recent years, there have been progress in developing labeled corpora for African languages. However, they are often available in a single domain

Automatic classification of multilingual occupations using transfer learning

Socio-economic research often requires detailed information on individual occupations in order to st

Cross-Dialectal Transfer for Low-Resource Arabic: The Tunisian Arabic Dependency Treebank