|
--- |
|
annotations_creators: |
|
- crowdsourced |
|
language_creators: |
|
- crowdsourced |
|
languages: |
|
- ar |
|
licenses: |
|
- unknown |
|
multilinguality: |
|
- monolingual |
|
size_categories: |
|
- 1K<n<10K |
|
source_datasets: |
|
- original |
|
task_categories: |
|
- text-classification |
|
- text-scoring |
|
task_ids: |
|
- sentiment-classification |
|
- sentiment-scoring |
|
--- |
|
|
|
# Dataset Card for OCLAR |
|
|
|
## Table of Contents |
|
|
|
- [Dataset Description](#dataset-description) |
|
- [Dataset Summary](#dataset-summary) |
|
- [Supported Tasks](#supported-tasks-and-leaderboards) |
|
- [Languages](#languages) |
|
- [Dataset Structure](#dataset-structure) |
|
- [Data Instances](#data-instances) |
|
- [Data Fields](#data-instances) |
|
- [Data Splits](#data-instances) |
|
- [Dataset Creation](#dataset-creation) |
|
- [Curation Rationale](#curation-rationale) |
|
- [Source Data](#source-data) |
|
- [Annotations](#annotations) |
|
- [Personal and Sensitive Information](#personal-and-sensitive-information) |
|
- [Considerations for Using the Data](#considerations-for-using-the-data) |
|
- [Social Impact of Dataset](#social-impact-of-dataset) |
|
- [Discussion of Biases](#discussion-of-biases) |
|
- [Other Known Limitations](#other-known-limitations) |
|
- [Additional Information](#additional-information) |
|
- [Dataset Curators](#dataset-curators) |
|
- [Licensing Information](#licensing-information) |
|
- [Citation Information](#citation-information) |
|
|
|
## Dataset Description |
|
|
|
- **Homepage:** [OCLAR homepage](http://archive.ics.uci.edu/ml/datasets/Opinion+Corpus+for+Lebanese+Arabic+Reviews+%28OCLAR%29#) |
|
- **Paper:** [paper link](https://www.semanticscholar.org/paper/Sentiment-Classifier%3A-Logistic-Regression-for-in-Omari-Al-Hajj/9319f4d9e8b3b7bfd0d214314911c071ba7ce1a0) |
|
- **Point of Contact:** Marwan Al Omari <marwanalomari '@' yahoo.com> |
|
|
|
### Dataset Summary |
|
|
|
The researchers of OCLAR Marwan et al. (2019), they gathered Arabic costumer reviews [Zomato website](https://www.zomato.com/lebanon) |
|
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. |
|
|
|
### Supported Tasks and Leaderboards |
|
|
|
Opinion Corpus for Lebanese Arabic Reviews (OCLAR) corpus is utilizable for Arabic sentiment classification on services |
|
reviews, including hotels, restaurants, shops, and others. |
|
|
|
### Languages |
|
|
|
The text in the dataset is in Arabic, mainly in Lebanese (LB). The associated BCP-47 code is `ar-LB`. |
|
|
|
## Dataset Structure |
|
|
|
### Data Instances |
|
|
|
A typical data point comprises a `pagename` which is the name of service / location being reviewed, a `review` which is |
|
the review left by the user / client , and a `rating` which is a score between 1 and 5. |
|
|
|
The authors consider a review to be positive if the score is greater or equal than `3`, else it is considered negative. |
|
|
|
An example from the OCLAR data set looks as follows: |
|
|
|
``` |
|
"pagename": 'Ramlet Al Baida Beirut Lebanon', |
|
"review": 'مكان يطير العقل ويساعد على الاسترخاء', |
|
"rating": 5, |
|
``` |
|
|
|
### Data Fields |
|
|
|
- `pagename`: string name of the service / location being reviewed |
|
- `review`: string review left by the user / costumer |
|
- `rating`: number of stars left by the reviewer. It ranges from 1 to 5. |
|
|
|
### Data Splits |
|
|
|
The data set comes in a single csv file of a total `3916` reviews : |
|
- `3465` are considered positive (a rating of 3 to 5) |
|
- `451` are considered negative (a rating of 1 or 2) |
|
|
|
## Dataset Creation |
|
|
|
### Curation Rationale |
|
|
|
This dataset was created for Arabic sentiment classification on services’ reviews in Lebanon country. |
|
Reviews are about public services, including hotels, restaurants, shops, and others. |
|
|
|
### Source Data |
|
|
|
#### Initial Data Collection and Normalization |
|
|
|
The data was collected from Google Reviews and [Zomato website](https://www.zomato.com/lebanon) |
|
|
|
#### Who are the source language producers? |
|
|
|
The source language producers are people who posted their reviews on Google Reviews or [Zomato website](https://www.zomato.com/lebanon). |
|
They're mainly Arabic speaking Lebanese people. |
|
|
|
### Annotations |
|
|
|
#### Annotation process |
|
|
|
The dataset does not contain any additional annotations |
|
|
|
#### Who are the annotators? |
|
|
|
[More Information Needed] |
|
|
|
### Personal and Sensitive Information |
|
|
|
[More Information Needed] |
|
|
|
## Considerations for Using the Data |
|
|
|
### Social Impact of Dataset |
|
|
|
The author's research has tackled a highly important task of sentiment analysis for Arabic language in the Lebanese |
|
context on 3916 reviews’ services from Google and Zomato. Experiments show three main findings: |
|
1) The classifier is confident when used to predict positive reviews, |
|
2) while it is biased on predicting reviews with negative sentiment, and finally |
|
3) the low percentage of negative reviews in the corpus contributes to the diffidence of LR. |
|
|
|
### Discussion of Biases |
|
|
|
[More Information Needed] |
|
|
|
### Other Known Limitations |
|
|
|
[More Information Needed] |
|
|
|
## Additional Information |
|
|
|
### Dataset Curators |
|
|
|
This dataset was curated by Marwan Al Omari, Moustafa Al-Hajj from Centre for Language Sciences and Communication, |
|
Lebanese University, Beirut, Lebanon; Nacereddine Hammami from college of Computer and Information Sciences, |
|
Jouf University, Aljouf, KSA; and Amani Sabra from Centre for Language Sciences and Communication, Lebanese University, |
|
Beirut, Lebanon. |
|
|
|
### Licensing Information |
|
|
|
[More Information Needed] |
|
|
|
### Citation Information |
|
- 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 |
|
``` |
|
@misc{Dua:2019 , |
|
author = "Dua, Dheeru and Graff, Casey", |
|
year = "2017", |
|
title = "{UCI} Machine Learning Repository", |
|
url = "http://archive.ics.uci.edu/ml", |
|
institution = "University of California, Irvine, School of Information and Computer Sciences" } |
|
|
|
@InProceedings{AlOmari2019oclar, |
|
title = {Sentiment Classifier: Logistic Regression for Arabic Services Reviews in Lebanon}, |
|
authors={Al Omari, M., Al-Hajj, M., Hammami, N., & Sabra, A.}, |
|
year={2019} |
|
} |
|
``` |
|
|
