Name: MARSA: Multi-Domain Arabic Resources for Sentiment Analysis
Description: MARSA—the largest sentiment annotated corpus for Dialectal Arabic (DA) in the Gulf region, which consists of 61,353 manually labeled tweets that contain a total of 840 K tokens. The tweets were collected from trending hashtags in four domains: political, social, sports, and technology to create a multi-domain corpus.
Provider: nan
Paper Title: MARSA: Multi-Domain Arabic Resources for Sentiment Analysis
Tasks: sentiment analysis
Venue Name: nan
Authors: Areeb Alowisheq,Nora Al-Twairesh,Mawaheb Altuwaijri,Afnan Almoammar,Alhanouf Alsuwailem,Tarfa Albuhairi,Wejdan Alahaideb,Sarah Alhumoud
Abstract: nan