GLARE: Google Apps Arabic Reviews Dataset
Fatima AlGhamdi, Reem Mohammed, Hend Al-Khalifa, and Areeb Alowisheq
TL;DR
GLARE is a large-scale Arabic app reviews dataset from Google PlayStore, enabling research in Arabic NLP and app review analysis with extensive data and detailed analysis.
Contribution
The paper introduces GLARE, a comprehensive Arabic reviews dataset with detailed collection methodology and analysis, supporting NLP research and application development.
Findings
76 million reviews collected, with 69 million in Arabic
Detailed exploratory data analysis performed
Potential use cases for NLP and sentiment analysis highlighted
Abstract
This paper introduces GLARE an Arabic Apps Reviews dataset collected from Saudi Google PlayStore. It consists of 76M reviews, 69M of which are Arabic reviews of 9,980 Android Applications. We present the data collection methodology, along with a detailed Exploratory Data Analysis (EDA) and Feature Engineering on the gathered reviews. We also highlight possible use cases and benefits of the dataset.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsText and Document Classification Technologies