oclar
OpenML dataset with id 42962
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Full work available at URL: https://api.openml.org/data/v1/download/22045631/oclar.arff
Upload date: 28 May 2021
Dataset Characteristics
Number of features: 3 (numeric: 1, symbolic: 0 and in total binary: 0 )
Number of instances: 3,916
Number of instances with missing values: 0
Number of missing values: 0
Author: Marwan Al Omari, Moustafa Al-Hajj, Nacereddine Hammami, Amani Sabra Source: UCI - 2019 Please cite: Paper
Opinion Corpus for Lebanese Arabic Reviews (OCLAR) Data Set
The researchers of OCLAR Marwan et al. (2019), they gathered Arabic costumer reviews from and Zomato website on wide scope of domain, including restaurants, hotels, hospitals, local shops, etc. The corpus finally contains 3916 reviews in 5-rating scale. For this research purpose, the positive class considers rating stars from 5 to 3 of 3465 reviews, and the negative class is represented from values of 1 and 2 of about 451 texts.
Attribute Information:
1. 3916 text reviews 2. 5-rating scale: 1: 303 2. 148 3. 418 4. 734 5. 2313
Positive class includes rating stars from 5 to 3 of 3465 total.
Negative class include rating stars from 1 to 2 of 451 total.
This page was built for dataset: oclar
