Papers Arabic Sentiment Analysis
“Arabic Sentiment Analysis” 태그가 달린 논문 44편 · 필터 해제
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 AnalysisArabic Sentiment Analysis with Noisy Deep Explainable Model
Sentiment Analysis (SA) is an indispensable task for many real-world applications. Compared to limited resourced languages (i.e., Arabic, Bengali), most of the research on SA are conducted for high resourced languages (i…
Arabic Sentiment AnalysisSentiment AnalysisSentiment ClassificationMultilevel sentiment analysis in arabic
In this study, we aimed to improve the performance results of Arabic sentiment analysis. This can be achieved by investigating the most successful machine learning method and the most useful feature vector to classify se…
Arabic Sentiment AnalysisSentiment AnalysisA Deep CNN Architecture with Novel Pooling Layer Applied to Two Sudanese Arabic Sentiment Datasets
Arabic sentiment analysis has become an important research field in recent years. Initially, work focused on Modern Standard Arabic (MSA), which is the most widely-used form. Since then, work has been carried out on seve…
Arabic Sentiment AnalysisSentiment AnalysisEmpirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysis
This work presents a detailed comparison of the performance of deep learning models such as convolutional neural networks (CNN), long short-term memory (LSTM), gated recurrent units (GRU), their hybrids, and a selection …
Arabic Sentiment AnalysisDeep LearningMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATION+1Overview of the Arabic Sentiment Analysis 2021 Competition at KAUST
This paper provides an overview of the Arabic Sentiment Analysis Challenge organized by King Abdullah University of Science and Technology (KAUST). The task in this challenge is to develop machine learning models to clas…
Arabic Sentiment AnalysisSentiment AnalysisNegation Handling in Machine Learning-Based Sentiment Classification for Colloquial Arabic
One crucial aspect of sentiment analysis is negation handling, where the occurrence of negation can flip the sentiment of a sentence and negatively affects the machine learning-based sentiment classification. The role of…
Arabic Sentiment AnalysisBIG-bench Machine LearningNegationSentence+2Deep Multi-Task Model for Sarcasm Detection and Sentiment Analysis in Arabic Language
The prominence of figurative language devices, such as sarcasm and irony, poses serious challenges for Arabic Sentiment Analysis (SA). While previous research works tackle SA and sarcasm detection separately, this paper …
Arabic Sentiment AnalysisMulti-Task LearningSarcasm DetectionSentiment AnalysisEffect of Word Embedding Variable Parameters on Arabic Sentiment Analysis Performance
Social media such as Twitter, Facebook, etc. has led to a generated growing number of comments that contains users opinions. Sentiment analysis research deals with these comments to extract opinions which are positive or…
Arabic Sentiment AnalysisSentiment AnalysisASAD: A Twitter-based Benchmark Arabic Sentiment Analysis Dataset
This paper provides a detailed description of a new Twitter-based benchmark dataset for Arabic Sentiment Analysis (ASAD), which is launched in a competition3, sponsored by KAUST for awarding 10000 USD, 5000 USD and 2000 …
Arabic Sentiment AnalysisSentiment AnalysisA review of sentiment analysis research in Arabic language
Sentiment analysis is a task of natural language processing which has recently attracted increasing attention. However, sentiment analysis research has mainly been carried out for the English language. Although Arabic is…
Arabic Sentiment AnalysisMachine TranslationSentiment AnalysisTransfer Learning+1An Arabic Tweets Sentiment Analysis Dataset (ATSAD) using Distant Supervision and Self Training
As the number of social media users increases, they express their thoughts, needs, socialise and publish their opinions reviews. For good social media sentiment analysis, good quality resources are needed, and the lack o…
8kArabic Sentiment AnalysisSentiment AnalysisFrom Arabic Sentiment Analysis to Sarcasm Detection: The ArSarcasm Dataset
Sarcasm is one of the main challenges for sentiment analysis systems. Its complexity comes from the expression of opinion using implicit indirect phrasing. In this paper, we present ArSarcasm, an Arabic sarcasm detection…
Arabic Sentiment AnalysisSarcasm DetectionSentiment AnalysisMetaphorical Expressions in Automatic Arabic Sentiment Analysis
Over the recent years, Arabic language resources and NLP tools have been under rapid development. One of the important tasks for Arabic natural language processing is the sentiment analysis. While a significant improveme…
Arabic Sentiment AnalysisCultural Vocal Bursts Intensity PredictionSentiment 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 Analysis