---
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