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Sentiment Classification

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Showing 326–350 of 949 papers

TitleStatusHype
EmotionGIF-Yankee: A Sentiment Classifier with Robust Model Based Ensemble MethodsCode0
Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment ClassificationCode0
Borrowing Human Senses: Comment-Aware Self-Training for Social Media Multimodal ClassificationCode0
A Game Theoretic Approach to Class-wise Selective RationalizationCode0
Fine-grained Sentiment Classification using BERTCode0
Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer EncodersCode0
Deep Discriminative Learning for Unsupervised Domain Adaptation—0
Deep Bayesian Natural Language Processing—0
Decoding Visual Sentiment of Political Imagery—0
Decoding EEG Brain Activity for Multi-Modal Natural Language Processing—0
Audio-Guided Fusion Techniques for Multimodal Emotion Analysis—0
An Ensemble of Humour, Sarcasm, and Hate Speechfor Sentiment Classification in Online Reviews—0
Decision Making For Celebrity Branding: An Opinion Mining Approach Based On Polarity And Sentiment Analysis Using Twitter Consumer-Generated Content (CGC)—0
Debunking Sentiment Lexicons: A Case of Domain-Specific Sentiment Classification for Croatian—0
Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification—0
DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification—0
An end-to-end Neural Network Framework for Text Clustering—0
AdvCodeMix: Adversarial Attack on Code-Mixed Data—0
Data Augmentation using Transformers and Similarity Measures for Improving Arabic Text Classification—0
AttentionMix: Data augmentation method that relies on BERT attention mechanism—0
DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation—0
Attention-based LSTM Network for Cross-Lingual Sentiment Classification—0
An Empirical Study on Sentiment Classification of Chinese Review using Word Embedding—0
CUFE at SemEval-2016 Task 4: A Gated Recurrent Model for Sentiment Classification—0
CrystalNest at SemEval-2017 Task 4: Using Sarcasm Detection for Enhancing Sentiment Classification and Quantification—0
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