Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Arabic
Size:
1K - 10K
Tags:
Sentiment Analysis
License:
File size: 833 Bytes
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---
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 |