MAPROC Leverages Few-Shot Learning and Sentence Transformers for Arabic Hotel Review Sentiment Analysis
Published:Nov 19, 2025 09:56
•1 min read
•ArXiv
Analysis
This research paper presents a practical application of AI in sentiment analysis using a specific dataset and language. The study's focus on few-shot learning and sentence transformers highlights current trends in natural language processing.
Key Takeaways
- •Applies few-shot learning to address the challenges of limited labeled data in Arabic NLP.
- •Utilizes sentence transformers to effectively encode and compare semantic meanings within hotel reviews.
- •Contributes to the advancement of sentiment analysis techniques for multilingual applications.
Reference
“The paper focuses on sentiment analysis of Arabic hotel reviews.”