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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 1–25 of 630 papers

TitleStatusHype
Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair ExtractionCode1
A Unified Span-Based Approach for Opinion Mining with Syntactic ConstituentsCode1
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word ExclusionCode1
Span Detection for Aspect-Based Sentiment Analysis in VietnameseCode1
Comparative Opinion Quintuple Extraction from Product ReviewsCode1
Matching The Statements: A Simple and Accurate Model for Key Point AnalysisCode1
Learning Opinion Dynamics From Social TracesCode1
MEMD-ABSA: A Multi-Element Multi-Domain Dataset for Aspect-Based Sentiment AnalysisCode1
pysentimiento: A Python Toolkit for Opinion Mining and Social NLP tasksCode1
Snippext: Semi-supervised Opinion Mining with Augmented DataCode1
Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet ExtractionCode1
Review highlights: opinion mining on reviews: a hybrid model for rule selection in aspect extractionCode1
Beyond Opinion Mining: Summarizing Opinions of Customer ReviewsCode1
DiaASQ : A Benchmark of Conversational Aspect-based Sentiment Quadruple AnalysisCode1
BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed TextCode1
Generative Cross-Domain Data Augmentation for Aspect and Opinion Co-ExtractionCode1
DataSEARCH at IEST 2018: Multiple Word Embedding based Models for Implicit Emotion Classification of Tweets with Deep LearningCode0
Discovering Bayesian Market Views for Intelligent Asset AllocationCode0
Active learning in annotating micro-blogs dealing with e-reputationCode0
Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation LearningCode0
CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and ArabicCode0
EmotiKLUE at IEST 2018: Topic-Informed Classification of Implicit EmotionsCode0
A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense KnowledgeCode0
Context-Sensitive Lexicon Features for Neural Sentiment AnalysisCode0
A Corpus of English-Hindi Code-Mixed Tweets for Sarcasm DetectionCode0
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