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Sentiment Classification

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Showing 201–225 of 949 papers

TitleStatusHype
Finding the Needle in a Haystack: Unsupervised Rationale Extraction from Long Text Classifiers—0
Dual-Attention Model for Aspect-Level Sentiment Classification—0
Variational Quantum Classifiers for Natural-Language Text—0
Meme Sentiment Analysis Enhanced with Multimodal Spatial Encoding and Facial Embedding—0
Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations—0
AfriSenti: A Twitter Sentiment Analysis Benchmark for African LanguagesCode1
InstructABSA: Instruction Learning for Aspect Based Sentiment AnalysisCode1
Learning from Noisy Crowd Labels with LogicsCode0
UDApter -- Efficient Domain Adaptation Using AdaptersCode1
Recursive Neural Networks with Bottlenecks Diagnose (Non-)CompositionalityCode0
EDSA-Ensemble: an Event Detection Sentiment Analysis Ensemble Architecture—0
Towards Personalized Review Summarization by Modeling Historical Reviews from Customer and Product Separately—0
Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in FinanceCode0
Is word segmentation necessary for Vietnamese sentiment classification?—0
Data Augmentation using Transformers and Similarity Measures for Improving Arabic Text Classification—0
BLIND: Bias Removal With No DemographicsCode0
Cross-Lingual Retrieval Augmented Prompt for Low-Resource LanguagesCode0
Utilizing distilBert transformer model for sentiment classification of COVID-19's Persian open-text responses—0
Multi-task Learning for Cross-Lingual Sentiment AnalysisCode0
Embedding generation for text classification of Brazilian Portuguese user reviews: from bag-of-words to transformers—0
Using Selective Masking as a Bridge between Pre-training and Fine-tuning—0
Multitask Learning for Low Resource Spoken Language Understanding—0
Sentiment Classification of Code-Switched Text using Pre-trained Multilingual Embeddings and Segmentation—0
Beyond Prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering RepresentationsCode1
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data AugmentationCode0
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