5th ICSADL 2026 invites original research contributions that address the recent research advancements and challenges in the field of sentiment analysis and deep learning. We encourage submissions that explore the intersection of these two fields and their applications across various domains.
♦ Sentiment classification, polarity detection, and opinion mining
♦ Aspect-based sentiment analysis
♦ Emotion recognition and analysis
♦ Sentiment analysis in social media and other text formats
♦ Cross-lingual and multilingual sentiment analysis
♦ Fine-grained and comparative sentiment analysis
♦ Sentiment analysis in multimodal data
♦ Domain-Specific Sentiment Analysis
♦ Deep learning architectures for sentiment analysis
♦ Transfer learning, representation learning and pre-trained models
♦ Deep learning for emotion recognition and affective computing
♦ Attention mechanisms for sentiment analysis
♦ Explainable AI, Generative models and neural network ensembles for sentiment analysis
♦ Deep learning for fake news detection and misinformation analysis
♦ Deep Learning for aspect extraction and user profiling
♦ Big data analytics for sentiment insights
♦ Comparative sentiment visualization
♦ Geospatial and interactive visualization models
♦ Statistical methods for sentiment analysis
♦ Domain-specific feature engineering techniques
♦ Multilingual Sentiment Analysis