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Sentiment Classification

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TitleStatusHype
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
Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classification—0
Learning when to skim and when to read—0
Learning with Noisy Labels for Sentence-level Sentiment Classification—0
Learning Word Embeddings for Data Sparse and Sentiment Rich Data Sets—0
Learning Word Representations with Regularization from Prior Knowledge—0
Leveraging Auxiliary Tasks for Document-Level Cross-Domain Sentiment Classification—0
Leveraging Multi-grained Sentiment Lexicon Information for Neural Sequence Models—0
Leveraging Multiple Domains for Sentiment Classification—0
Leveraging News Sentiment to Improve Microblog Sentiment Classification in the Financial Domain—0
Leveraging Semantic and Sentiment Knowledge for User-Generated Text Sentiment Classification—0
Leveraging Sparse and Dense Feature Combinations for Sentiment Classification—0
LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification—0
Lexical Based Semantic Orientation of Online Customer Reviews and Blogs—0
Lexicon based Fine-tuning of Multilingual Language Models for Sentiment Analysis of Low-resource Languages—0
LIA at SemEval-2017 Task 4: An Ensemble of Neural Networks for Sentiment Classification—0
Lifelong Learning for Sentiment Classification—0
Limbic: Author-Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse Relations—0
Linguistically Regularized LSTM for Sentiment Classification—0
Linguistically Regularized LSTMs for Sentiment Classification—0
Linguistic approach based Transfer Learning for Sentiment Classification in Hindi—0
Linguistic features for sentence difficulty prediction in ABSA—0
Linking News Sentiment to Microblogs: A Distributional Semantics Approach to Enhance Microblog Sentiment Classification—0
Log Message Anomaly Detection and Classification Using Auto-B/LSTM and Auto-GRU—0
Longitudinal Sentiment Classification of Reddit Posts—0
Low Resource Pipeline for Spoken Language Understanding via Weak Supervision—0
Low-Shot Classification: A Comparison of Classical and Deep Transfer Machine Learning Approaches—0
LT3: Sentiment Classification in User-Generated Content Using a Rich Feature Set—0
[LVIC-LIMSI]: Using Syntactic Features and Multi-polarity Words for Sentiment Analysis in Twitter—0
LyS at SemEval-2016 Task 4: Exploiting Neural Activation Values for Twitter Sentiment Classification and Quantification—0
Machine Learning Evaluation of the Echo-Chamber Effect in Medical Forums—0
Machine Translation for Machines: the Sentiment Classification Use Case—0
MAGE: Multi-Head Attention Guided Embeddings for Low Resource Sentiment Classification—0
Masakhane-Afrisenti at SemEval-2023 Task 12: Sentiment Analysis using Afro-centric Language Models and Adapters for Low-resource African Languages—0
MEISD: A Multimodal Multi-Label Emotion, Intensity and Sentiment Dialogue Dataset for Emotion Recognition and Sentiment Analysis in Conversations—0
Meme Sentiment Analysis Enhanced with Multimodal Spatial Encoding and Facial Embedding—0
Memory, Show the Way: Memory Based Few Shot Word Representation Learning—0
MI\&T Lab at SemEval-2017 task 4: An Integrated Training Method of Word Vector for Sentiment Classification—0
Mixed Feelings: Cross-Domain Sentiment Classification of Patient Feedback—0
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