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Sentiment Classification

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TitleStatusHype
Bayes-enhanced Lifelong Attention Networks for Sentiment Classification—0
Fusing location and text features for sentiment classification—0
DMCB at SemEval-2018 Task 1: Transfer Learning of Sentiment Classification Using Group LSTM for Emotion Intensity prediction—0
Explicit Interaction Network for Aspect Sentiment Triplet Extraction—0
Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis—0
BAN-ABSA: An Aspect-Based Sentiment Analysis dataset for Bengali and it's baseline evaluation—0
CARMA: Enhanced Compositionality in LLMs via Advanced Regularisation and Mutual Information Alignment—0
Exploiting Contextual Target Attributes for Target Sentiment Classification—0
Cascading Multiway Attentions for Document-level Sentiment Classification—0
An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese—0
Fuzzy Based Implicit Sentiment Analysis on Quantitative Sentences—0
Diversified Multiple Instance Learning for Document-Level Multi-Aspect Sentiment Classification—0
Balancing Between Over-Weighting and Under-Weighting in Supervised Term Weighting—0
Exploring ChatGPT-based Augmentation Strategies for Contrastive Aspect-based Sentiment Analysis—0
Exploring Distributional Representations and Machine Translation for Aspect-based Cross-lingual Sentiment Classification.—0
Categorical Probability Proportion Difference (CPPD): A Feature Selection Method for Sentiment Classification—0
From Adoption to Adaption: Tracing the Diffusion of New Emojis on Twitter—0
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation—0
Causal Interpretation of Self-Attention in Pre-Trained Transformers—0
Feature Extraction Functions for Neural Logic Rule Learning—0
Feature Projection for Improved Text Classification—0
Feature Selection as Causal Inference: Experiments with Text Classification—0
Feedforward Legendre Memory Unit—0
ADAPT at IJCNLP-2017 Task 4: A Multinomial Naive Bayes Classification Approach for Customer Feedback Analysis task—0
An Introductory Survey on Attention Mechanisms in NLP Problems—0
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