mlsanityData to 14 Oct 2026

LABR: A Large Scale Arabic Sentiment Analysis Benchmark

arXiv 1411.6718 ↗First posted 25 Nov 2014cs.CL cs.LGcited by 22

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Abstract (arXiv)

We introduce LABR, the largest sentiment analysis dataset to-date for the Arabic language. It consists of over 63,000 book reviews, each rated on a scale of 1 to 5 stars. We investigate the properties of the dataset, and present its statistics. We explore using the dataset for two tasks: (1) sentiment polarity classification; and (2) ratings classification. Moreover, we provide standard splits of the dataset into training, validation and testing, for both polarity and ratings classification, in both balanced and unbalanced settings. We extend our previous work by performing a comprehensive analysis on the dataset. In particular, we perform an extended survey of the different classifiers typically used for the sentiment polarity classification problem. We also construct a sentiment lexicon from the dataset that contains both single and compound sentiment words and we explore its effectiveness. We make the dataset and experimental details publicly available.

Key facts. Cited by 22 papers in the map (data through 14 Oct 2026). First posted on arXiv 25 Nov 2014.

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Citing papers per year: 2021: 4; 2022: 3; 2023: 5; 2024: 3; 2025: 4; 2026: 3.

22 papers.

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  1. 2023The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Datasetcited by 148
  2. 2023ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessmentcited by 19
  3. 2021Evaluating Various Tokenizers for Arabic Text Classificationcited by 14
  4. 2023Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmarkcited by 10
  5. 2021Spelling Correction with Denoising Transformercited by 9
  6. 2021Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa -- A Large Romanian Sentiment Data Setcited by 8
  7. 2024KazSAnDRA: Kazakh Sentiment Analysis Dataset of Reviews and Attitudescited by 5
  8. 2022Assessment of Massively Multilingual Sentiment Classifierscited by 3
  9. 2022A Semi-supervised Approach for a Better Translation of Sentiment in Dialectical Arabic UGTcited by 2
  10. 2023Arabic Sentiment Analysis with Noisy Deep Explainable Modelcited by 2
  11. 2025A comprehensive survey of contemporary Arabic sentiment analysis: Methods, Challenges, and Future Directionscited by 2
  12. 2026More Choices, Fewer Decisions: Ordinal-Scale Bias in JEV-like Direct-Decision Modelscited by 2
10 more
  1. 2023Understanding the Impact of Culture in Assessing Helpfulness of Online Reviewscited by 1
  2. 2024Arabic Text Sentiment Analysis: Reinforcing Human-Performed Surveys with Wider Topic Analysiscited by 1
  3. 2026From FusHa to Folk: Exploring Cross-Lingual Transfer in Arabic Language Modelscited by 1
  4. 2021AraCOVID19-SSD: Arabic COVID-19 Sentiment and Sarcasm Detection Datasetcited by 0
  5. 2022A Deep CNN Architecture with Novel Pooling Layer Applied to Two Sudanese Arabic Sentiment Datasetscited by 0
  6. 2024AlcLaM: Arabic Dialectal Language Modelcited by 0
  7. 2025Dhati+: Fine-tuned Large Language Models for Arabic Subjectivity Evaluationcited by 0
  8. 2025Domain-Adaptive Pre-Training for Arabic Aspect-Based Sentiment Analysis: A Comparative Study of Domain Adaptation and Fine-Tuning Strategiescited by 0
  9. 2025MAPROC at AHaSIS Shared Task: Few-Shot and Sentence Transformer for Sentiment Analysis of Arabic Hotel Reviewscited by 0
  10. 2026Character Iconicity vs. Arbitrariness: An Arabic NLP Perspectivecited by 0