Arabic Sentiment Analysis
1개 벤치마크 · 논문 44편 · 이 태스크의 논문 보기 →
Benchmarks
!(()&&!|*|*|
Most implemented
Advancing Arabic Sentiment Analysis: ArSen Benchmark and the Improved Fuzzy Deep Hybrid Network
ArSen-20: A New Benchmark for Arabic Sentiment Detection
A Deep CNN Architecture with Novel Pooling Layer Applied to Two Sudanese Arabic Sentiment Datasets
CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing
hULMonA: The Universal Language Model in Arabic
Papers
AHaSIS: Shared Task on Sentiment Analysis for Arabic Dialects
The hospitality industry in the Arab world increasingly relies on customer feedback to shape services, driving the need for advanced Arabic sentiment analysis tools. To address this challenge, the Sentiment Analysis on A…
Arabic Sentiment AnalysisFrom Human Annotation to Automation: LLM-in-the-Loop Active Learning for Arabic Sentiment Analysis
Natural language processing (NLP), particularly sentiment analysis, plays a vital role in areas like marketing, customer service, and social media monitoring by providing insights into user opinions and emotions. However…
Arabic Sentiment AnalysisActive LearningAdvancing Arabic Sentiment Analysis: ArSen Benchmark and the Improved Fuzzy Deep Hybrid Network
Sentiment analysis is pivotal in Natural Language Processing for understanding opinions and emotions in text. While advancements in Sentiment analysis for English are notable, Arabic Sentiment Analysis (ASA) lags, despit…
Arabic Sentiment AnalysisSentiment AnalysisSentiment ClassificationArSen-20: A New Benchmark for Arabic Sentiment Detection
Sentiment detection remains a pivotal task in natural language processing, yet its development in Arabic lags due to a scarcity of training materials compared to English. Addressing this gap, we present ArSen-20, a bench…
Arabic Sentiment AnalysisSentiment AnalysisArabic Text Sentiment Analysis: Reinforcing Human-Performed Surveys with Wider Topic Analysis
Sentiment analysis (SA) has been, and is still, a thriving research area. However, the task of Arabic sentiment analysis (ASA) is still underrepresented in the body of research. This study offers the first in-depth and i…
Arabic Sentiment AnalysisSentiment AnalysisArabic Tweet Act: A Weighted Ensemble Pre-Trained Transformer Model for Classifying Arabic Speech Acts on Twitter
Speech acts are a speakers actions when performing an utterance within a conversation, such as asking, recommending, greeting, or thanking someone, expressing a thought, or making a suggestion. Understanding speech acts …
Arabic Sentiment AnalysisData AugmentationEnsemble LearningSentiment Analysis