---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: domain
    dtype: string
  - name: polarity
    dtype: float64
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 31830177
    num_examples: 45498
  download_size: 16205250
  dataset_size: 31830177
tags:
- Sentiment Analysis
license: unknown
task_categories:
- text-classification
language:
- ar
pretty_name: LASAR
size_categories:
- 10K<n<100K
---
# Dataset Card for "LASAR: Large Arabic Sentiment Analysis Resouces"

## Paper:
ElSahar, H., El-Beltagy, S.R. (2015). Building Large Arabic Multi-domain Resources for Sentiment Analysis. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2015. Lecture Notes in Computer Science(), vol 9042. Springer, Cham. https://doi.org/10.1007/978-3-319-18117-2_2