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