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Sentiment Classification

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TitleStatusHype
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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