资源介绍
Marwan Al Omari, Centre for Language Sciences and Communication, Lebanese University, Beirut, Lebanon, marwanalomari '@' yahoo.com
Moustafa Al-Hajj, Centre for Language Sciences and Communication, Lebanese University, Beirut, Lebanon, moustafa.alhajj '@' ul.edu.lb
Nacereddine Hammami, college of Computer and Information Sciences, Jouf University, Aljouf, KSA, n.hammami '@' ju.edu.sa
Amani Sabra, Centre for Language Sciences and Communication, Lebanese University, Beirut, Lebanon, amani.sabra '@' ul.edu.lb
Data Set Information:
The researchers of OCLAR Marwan et al. (2019), they gathered Arabic costumer reviews from ([Web Link]) and Zomato website ([Web Link]) 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.
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.
