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Opinion Mining

Identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral (Source: Oxford Languages)

Image Source: Deep learning for sentiment analysis: A survey

Papers

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Showing 21–30 of 630 papers

TitleStatusHype
A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense KnowledgeCode0
Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation LearningCode0
Improved Target-specific Stance Detection on Social Media Platforms by Delving into Conversation ThreadsCode0
Context-Sensitive Lexicon Features for Neural Sentiment AnalysisCode0
Active learning in annotating micro-blogs dealing with e-reputationCode0
CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and ArabicCode0
A Corpus of English-Hindi Code-Mixed Tweets for Sarcasm DetectionCode0
EmotiKLUE at IEST 2018: Topic-Informed Classification of Implicit EmotionsCode0
Enhancing Rhetorical Figure Annotation: An Ontology-Based Web Application with RAG IntegrationCode0
Can Large Language Models be Effective Online Opinion Miners?Code0
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