OCLAR Marwan等人（2019年）的研究人员收集了来自（[Web link]）和Zomato网站的广泛领域的阿拉伯客户评论，包括餐厅、酒店、医院、当地商店等。语料库最终包含3916条5级评论。在这项研究中，正面类考虑3465篇评论中的5到3篇，负面类考虑451篇文章中的1和2的值。

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.

Relevant Papers:

Al Omari, M., Al-Hajj, M., Hammami, N., & Sabra, A. (2019). Sentiment Classifier: Logistic Regression for Arabic Servicesa€? Reviews in Lebanon. 2019 International Conference on Computer and Information Sciences (ICCIS), Sakaka, Saudi Arabia, 2019, pp. 1-5. Doi: 10.1109/ICCISci.2019.8716394

Citation Request:

Please cite the above paper if you make use of the OCLAR dataset.