LABR: A Large Scale Arabic Book Reviews Dataset
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Sentiment AnalysisSimilar Papers 제목 키워드 기반
LABR: A Large Scale Arabic Sentiment Analysis Benchmark
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…
Arabic Sentiment AnalysisClassificationGeneral ClassificationSentiment AnalysisToward Qualitative Evaluation of Embeddings for Arabic Sentiment Analysis
In this paper, we propose several protocols to evaluate specific embeddings for Arabic sentiment analysis (SA) task. In fact, Arabic language is characterized by its agglutination and morphological richness contributing …
Arabic Sentiment AnalysisSentiment AnalysisArabic aspect sentiment polarity classification using BERT
Aspect-based sentiment analysis(ABSA) is a textual analysis methodology that defines the polarity of opinions on certain aspects related to specific targets. The majority of research on ABSA is in English, with a small a…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)ClassificationSentence+3SARD: A Large-Scale Synthetic Arabic OCR Dataset for Book-Style Text Recognition
Arabic Optical Character Recognition (OCR) is essential for converting vast amounts of Arabic print media into digital formats. However, training modern OCR models, especially powerful vision-language models, is hampered…
Optical Character RecognitionOptical Character Recognition (OCR)Arabic-Nougat: Fine-Tuning Vision Transformers for Arabic OCR and Markdown Extraction
We present Arabic-Nougat, a suite of OCR models for converting Arabic book pages into structured Markdown text. Based on Meta's Nougat architecture, Arabic-Nougat includes three specialized models: arabic-small-nougat, a…
document understandingOptical Character Recognition (OCR)