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Sentiment Classification

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Showing 501–550 of 949 papers

TitleStatusHype
Sentiment Classification using Images and Label Embeddings—0
Sentiment Classification using N-gram IDF and Automated Machine Learning—0
Sentiment Classification using Rough Set based Hybrid Feature Selection—0
Sentiment Classification via a Response Recalibration Framework—0
Sentiment Classification with Graph Co-Regularization—0
Sentiment Classification with Word Attention based on Weakly Supervised Learning with a Convolutional Neural Network—0
Sentiment Expression via Emoticons on Social Media—0
Sentiment Lexicon Interpolation and Polarity Estimation of Objective and Out-Of-Vocabulary Words to Improve Sentiment Classification on Microblogging—0
Sentiment Preservation in Review Translation using Curriculum-based Re-inforcement Framework—0
SentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based Sentiment Analysis—0
SentiQNF: A Novel Approach to Sentiment Analysis Using Quantum Algorithms and Neuro-Fuzzy Systems—0
SentiTel: TABSA for Twitter reviews on Uganda Telecoms—0
Senti.ue: Tweet Overall Sentiment Classification Approach for SemEval-2014 Task 9—0
SentiXRL: An advanced large language Model Framework for Multilingual Fine-Grained Emotion Classification in Complex Text Environment—0
SERF: Towards better training of deep neural networks using log-Softplus ERror activation Function—0
SetConv: A New Approach for Learning from Imbalanced Data—0
Siamese Network-Based Supervised Topic Modeling—0
Simultaneous Identification of Tweet Purpose and Position—0
SIS@IIITH at SemEval-2020 Task 8: An Overview of Simple Text Classification Methods for Meme Analysis—0
SlangSD: Building and Using a Sentiment Dictionary of Slang Words for Short-Text Sentiment Classification—0
Soft-prompt Tuning for Large Language Models to Evaluate Bias—0
Solving Data Sparsity for Aspect Based Sentiment Analysis Using Cross-Linguality and Multi-Linguality—0
Solving Feature Sparseness in Text Classification using Core-Periphery Decomposition—0
Stance Classification of Context-Dependent Claims—0
SteM at SemEval-2016 Task 4: Applying Active Learning to Improve Sentiment Classification—0
Stock Market Sentiment Classification and Backtesting via Fine-tuned BERT—0
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding—0
Structural Attention Neural Networks for improved sentiment analysis—0
Structural Correspondence Learning for Cross-lingual Sentiment Classification with One-to-many Mappings—0
STT: Soft Template Tuning for Few-Shot Learning—0
STT: Soft Template Tuning for Few-Shot Adaptation—0
Subsentential Sentiment on a Shoestring: A Crosslingual Analysis of Compositional Classification—0
SUKHAN: Corpus of Hindi Shayaris annotated with Sentiment Polarity Information—0
Super Characters: A Conversion from Sentiment Classification to Image Classification—0
SWATCS65: Sentiment Classification Using an Ensemble of Class Projects—0
SwissCheese at SemEval-2016 Task 4: Sentiment Classification Using an Ensemble of Convolutional Neural Networks with Distant Supervision—0
Syntactic Fusion: Enhancing Aspect-Level Sentiment Analysis Through Multi-Tree Graph Integration—0
Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks—0
Syntax-Aware Graph Attention Network for Aspect-Level Sentiment Classification—0
Target-dependent twitter sentiment classification with rich automatic features—0
Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM—0
Target-Guided Structured Attention Network for Target-Dependent Sentiment Analysis—0
Target-Sensitive Memory Networks for Aspect Sentiment Classification—0
Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding—0
Task-Specific Pre-Training and Cross Lingual Transfer for Sentiment Analysis in Dravidian Code-Switched Languages—0
T-BERT -- Model for Sentiment Analysis of Micro-blogs Integrating Topic Model and BERT—0
TDAM: a Topic-Dependent Attention Model for Sentiment Analysis—0
Team Neuro at SemEval-2020 Task 8: Multi-Modal Fine Grain Emotion Classification of Memes using Multitask Learning—0
Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations—0
Ternary Twitter Sentiment Classification with Distant Supervision and Sentiment-Specific Word Embeddings—0
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