metadata

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