Paper: LABR: A Large Scale Arabic Book Reviews Dataset

ACL ID P13-2088
Title LABR: A Large Scale Arabic Book Reviews Dataset
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2013

We introduce LABR, the largest sentiment analysis dataset to-date for the Arabic lan- guage. It consists of over 63,000 book reviews, each rated on a scale of 1 to 5 stars. We investigate the properties of the the dataset, and present its statistics. We explore using the dataset for two tasks: sentiment polarity classification and rat- ing classification. We provide standard splits of the dataset into training and test- ing, for both polarity and rating classifica- tion, in both balanced and unbalanced set- tings. We run baseline experiments on the dataset to establish a benchmark.