| Using LDA and LSTM Models to Study Public Opinions and Critical Groups Towards Congestion Pricing in New York City through 2007 to 2019 | Aug 1, 2020 | FairnessSentiment Analysis | —Unverified | 0 | 0 |
| Using objective words in the reviews to improve the colloquial arabic sentiment analysis | Sep 25, 2017 | Arabic Sentiment AnalysisGeneral Classification | —Unverified | 0 | 0 |
| Using Psuedolabels for training Sentiment Classifiers makes the model generalize better across datasets | Oct 5, 2021 | Sentiment AnalysisSentiment Classification | —Unverified | 0 | 0 |
| Using Random Perturbations to Mitigate Adversarial Attacks on Sentiment Analysis Models | Feb 11, 2022 | Sentiment AnalysisSentiment Classification | —Unverified | 0 | 0 |
| Using Selective Masking as a Bridge between Pre-training and Fine-tuning | Nov 24, 2022 | Language ModellingSentiment Analysis | —Unverified | 0 | 0 |
| Using Skipgrams, Bigrams, and Part of Speech Features for Sentiment Classification of Twitter Messages | Dec 1, 2015 | General ClassificationOpinion Mining | —Unverified | 0 | 0 |
| Using the Past Knowledge to Improve Sentiment Classification | Nov 1, 2020 | ClassificationKnowledge Distillation | —Unverified | 0 | 0 |
| Using Word Embeddings in Twitter Election Classification | Jun 22, 2016 | ArticlesClassification | —Unverified | 0 | 0 |
| Utilizing distilBert transformer model for sentiment classification of COVID-19's Persian open-text responses | Dec 16, 2022 | Sentiment AnalysisSentiment Classification | —Unverified | 0 | 0 |
| Utilizing Weak Supervision To Generate Indonesian Conservation Dataset | Oct 17, 2023 | ClassificationMulti-class Classification | —Unverified | 0 | 0 |
