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Sentiment Classification

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Showing 901–949 of 949 papers

TitleStatusHype
Improving Sentiment Classification Using 0-Shot Generated Labels for Custom Transformer Embeddings—0
Improving the Explainability of Neural Sentiment Classifiers via Data Augmentation—0
Improving Twitter Sentiment Classification via Multi-Level Sentiment-Enriched Word Embeddings—0
In-Context Learning Can Re-learn Forbidden Tasks—0
In-Context Learning for Text Classification with Many Labels—0
Incorporating End-to-End Speech Recognition Models for Sentiment Analysis—0
Indonesian Social Media Sentiment Analysis With Sarcasm Detection—0
Inducing Target-Specific Latent Structures for Aspect Sentiment Classification—0
INSIGHT-1 at SemEval-2016 Task 4: Convolutional Neural Networks for Sentiment Classification and Quantification—0
Instruct-DeBERTa: A Hybrid Approach for Aspect-based Sentiment Analysis on Textual Reviews—0
Investigating Dynamic Routing in Tree-Structured LSTM for Sentiment Analysis—0
Investigating Political Herd Mentality: A Community Sentiment Based Approach—0
Investigating the Effect of Segmentation Methods on Neural Model based Sentiment Analysis on Informal Short Texts in Turkish—0
IOA: Improving SVM Based Sentiment Classification Through Post Processing—0
Is ChatGPT a Good Personality Recognizer? A Preliminary Study—0
ISCLAB at SemEval-2018 Task 1: UIR-Miner for Affect in Tweets—0
Isomer: Transfer enhanced Dual-Channel Heterogeneous Dependency Attention Network for Aspect-based Sentiment Classification—0
Is syntax structure modeling worth? Leveraging pattern-driven modeling to enable affordable sentiment dependency learning—0
Is word segmentation necessary for Vietnamese sentiment classification?—0
Iterative Recursive Attention Model for Interpretable Sequence Classification—0
Japanese Sentiment Classification using a Tree-Structured Long Short-Term Memory with Attention—0
Japanese Sentiment Classification with Stacked Denoising Auto-Encoder using Distributed Word Representation—0
JEAM: A Novel Model for Cross-Domain Sentiment Classification Based on Emotion Analysis—0
结合金融领域情感词典和注意力机制的细粒度情感分析(Attention-based Recurrent Network Combined with Financial Lexicon for Aspect-level Sentiment Classification)—0
基于时间注意力胶囊网络的维吾尔语情感分类模型(Uyghur Sentiment Classification Model Based on Temporal Attention Capsule Networks)—0
Joint Learning of Local and Global Features for Aspect-based Sentiment Classification—0
Joint Sentiment/Topic Modeling on Text Data Using Boosted Restricted Boltzmann Machine—0
Key-phrase boosted unsupervised summary generation for FinTech organization—0
kk2018 at SemEval-2020 Task 9: Adversarial Training for Code-Mixing Sentiment Classification—0
Label Correction Model for Aspect-based Sentiment Analysis—0
Revisiting the Role of Label Smoothing in Enhanced Text Sentiment Classification—0
Language-Agnostic Model for Aspect-Based Sentiment Analysis—0
Language Independent Sentiment Analysis with Sentiment-Specific Word Embeddings—0
Large language models in finance : what is financial sentiment?—0
Large, Small or Both: A Novel Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization—0
Layer Importance and Hallucination Analysis in Large Language Models via Enhanced Activation Variance-Sparsity—0
LCCT: A Semi-supervised Model for Sentiment Classification—0
Learn2Weight: Weights Transfer Defense against Similar-domain Adversarial Attacks—0
Learnable Dependency-based Double Graph Structure for Aspect-based Sentiment Analysis—0
Learning Bilingual Sentiment Word Embeddings for Cross-language Sentiment Classification—0
Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information—0
Learning Domain Representation for Multi-Domain Sentiment Classification—0
Learning Domain-Sensitive and Sentiment-Aware Word Embeddings—0
Learning representations for sentiment classification using Multi-task framework—0
Learning Semantic Representations of Users and Products for Document Level Sentiment Classification—0
Learning Sentence Embeddings with Auxiliary Tasks for Cross-Domain Sentiment Classification—0
Learning Sentiment Composition from Sentiment Lexicons—0
Learning to Distill: The Essence Vector Modeling Framework—0
Learning to Extract Cross-Domain Aspects and Understanding Sentiments Using Large Language Models—0
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