Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Arabic
Size:
10K - 100K
Tags:
Sentiment Analysis
License:
File size: 886 Bytes
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---
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 |