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Sentiment Classification

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Showing 851–875 of 949 papers

TitleStatusHype
Adaptive Semi-supervised Learning for Cross-domain Sentiment ClassificationCode0
ImpactCite: An XLNet-based method for Citation Impact AnalysisCode0
Improved Multilingual Language Model Pretraining for Social Media Text via Translation Pair PredictionCode0
Improved Semantic Representations From Tree-Structured Long Short-Term Memory NetworksCode0
BERT Goes Off-Topic: Investigating the Domain Transfer Challenge using Genre ClassificationCode0
Combining dynamic local context focus and dependency cluster attention for aspect-level sentiment classificationCode0
Adapting Deep Learning for Sentiment Classification of Code-Switched Informal Short TextCode0
The merits of Universal Language Model Fine-tuning for Small Datasets -- a case with Dutch book reviewsCode0
NELEC at SemEval-2019 Task 3: Think Twice Before Going DeepCode0
Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa -- A Large Romanian Sentiment Data SetCode0
When Low Resource NLP Meets Unsupervised Language Model: Meta-pretraining Then Meta-learning for Few-shot Text ClassificationCode0
An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment AnalysisCode0
Improving Results on Russian Sentiment DatasetsCode0
Improving Review Representations with User Attention and Product Attention for Sentiment ClassificationCode0
The Moral Foundations Reddit CorpusCode0
Improving Sentiment Classification in Slovak LanguageCode0
Neural Sentiment Classification with User and Product AttentionCode0
Improving the Accuracy of Pre-trained Word Embeddings for Sentiment AnalysisCode0
Neural Structural Correspondence Learning for Domain AdaptationCode0
Select-Additive Learning: Improving Generalization in Multimodal Sentiment AnalysisCode0
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data AugmentationCode0
Optimal and efficient text counterfactuals using Graph Neural NetworksCode0
LSA: Modeling Aspect Sentiment Coherency via Local Sentiment AggregationCode0
NEZHA: Neural Contextualized Representation for Chinese Language UnderstandingCode0
Using J-K fold Cross Validation to Reduce Variance When Tuning NLP ModelsCode0
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