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Global Arabic Business Reviews
Reviews & Ratings
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides a collection of over 40,000 reviews in Arabic, primarily gathered for the purpose of sentiment analysis [1, 2]. Each review is labelled with a sentiment rating (negative, neutral, or positive) and its associated company name [1, 2]. The data aims to facilitate the production of a sentiment score for various companies [1]. It includes reviews for 12 distinct companies [2].
Columns
- Index column (integer): A unique identifier for each review [1, 2].
- Review (text): Contains the Arabic text of the company review [1, 2].
- Rating (-1, 0, 1): An integer representing the sentiment of the review, where -1 indicates a negative sentiment, 0 a neutral sentiment, and 1 a positive sentiment [1, 2].
- Company (text): The name of the company to which the review pertains [1, 2].
Distribution
The dataset contains approximately 40,000 reviews, specifically 39,004 unique values for reviews [2, 3]. These reviews are distributed across 12 companies [2]. The sentiment ratings are distributed as follows: 14,200 reviews are rated as negative (-1), 1,925 as neutral (0), and 23,921 as positive (1) [3]. The company distribution shows that "talbat" accounts for 80% of the reviews, "swvl" for 12%, and the remaining 8% (3,280 reviews) are attributed to other companies [3]. The data is structured to include an index, review text, rating, and company name [1].
Usage
This dataset is ideally suited for Natural Language Processing (NLP) tasks, especially sentiment analysis [1]. It can be used for training machine learning models to predict the sentiment of Arabic text, assessing customer satisfaction, or monitoring brand reputation [1]. It is also valuable for research in AI and Machine Learning applications involving textual data [1].
Coverage
The dataset has a global regional coverage [1, 4]. The reviews are exclusively in Arabic [1]. Information regarding the specific time range or detailed demographic scope of the data collection is not provided in the sources.
License
CC-BY-SA
Who Can Use It
This dataset is suitable for:
- Data scientists and machine learning engineers for building sentiment analysis models [1].
- Researchers focusing on Arabic NLP or text classification [1].
- Businesses interested in analysing customer feedback and sentiment for companies in Arabic-speaking markets [1].
- Students and academics learning about sentiment analysis and data processing for AI applications [1].
Dataset Name Suggestions
- Arabic Company Sentiment Reviews
- Global Arabic Business Reviews
- Arabic NLP Sentiment Dataset
- Opendatabay Arabic Company Ratings
Attributes
Original Data Source: Arabic Company Reviews (عربي)
QUALITY