metadata

configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: Domain
      dtype: string
    - name: Text
      dtype: string
    - name: Polarity
      dtype: string
  splits:
    - name: train
      num_bytes: 3830370
      num_examples: 9141
  download_size: 1784683
  dataset_size: 3830370
task_categories:
  - text-classification
language:
  - ar
tags:
  - Sentiment Analysis
pretty_name: MSAC
size_categories:
  - 1K<n<10K
license: unknown

Dataset Card for "Multi-domain Arabic Sentiment Corpus (MASC)"

Paper:

Al-Moslmi, T., Albared, M., Al-Shabi, A., Omar, N., & Abdullah, S. (2018). Arabic senti-lexicon: Constructing publicly available language resources for Arabic sentiment analysis. Journal of Information Science, 44(3), 345-362. https://doi.org/10.1177/0165551516683908