Aspect-Based-Sentiment-Analysis

A paper list for aspect based sentiment analysis.

Datasets

SemEval-2014 Task 4

• [SemEval-14]: SemEval-2014 Task 4: Aspect Based Sentiment Analysis. [paper] [data]

MAMS

• [EMNLP-19]: A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis. [paper] [data]

Twitter

• [ACL-14]: Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification. [paper] [data]

SentiHood

• [COLING-16]: Sentihood: Targeted aspect based sentiment analysis dataset for urban neighbourhoods. [paper] [data]

TOWE

• [NAACL-19]: Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling. [paper] [data]

Paper List

Aspect Based Sentiment Classification

• [SemEval-14]: SemEval-2014 Task 4: Aspect Based Sentiment Analysis. [paper] [data]

• [ACL-14]: Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification. [paper] [data]

• [NIPS-14-workshop]: Aspect Specific Sentiment Analysis using Hierarchical Deep Learning. [paper]

• [EMNLP-15]: PhraseRNN: Phrase Recursive Neural Network for Aspect-based Sentiment Analysis. [paper]

• [COLING-16]: Sentihood: Targeted aspect based sentiment analysis dataset for urban neighbourhoods. [paper] [data]

• [COLING-16]: Effective LSTMs for Target-Dependent Sentiment Classification. [paper] [data]

• [EMNLP-16]: Aspect Level Sentiment Classification with Deep Memory Network. [paper] [code]

• [EMNLP-16]: Attention-based LSTM for Aspect-level Sentiment Classification. [paper] [code]

• [EMNLP-16]: A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis. [paper]

• [EMNLP-16]: Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis. [paper]

• [IJCAI-17]: Interactive Attention Networks for Aspect-Level Sentiment Classification. [paper] [code]

• [CIKM-17]: Dyadic Memory Networks for Aspect-based Sentiment Analysis. [paper]

• [EMNLP-17]: Recurrent Attention Network on Memory for Aspect Sentiment Analysis. [paper] [code]

• [WWW-18]: Content Attention Model for Aspect Based Sentiment Analysis. [paper] [code]

• [AAAI-18]: Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM. [paper]

• [AAAI-18]: Learning to Attend via Word-Aspect Associative Fusion for Aspect-based Sentiment Analysis. [paper]

• [AAAI-18]: Learning Latent Opinions for Aspect-Level Sentiment Classification. [paper]

• [NAACL-18]: Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis. [paper]

• [NAACL-18]: Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis. [paper] [code]

• [ACL-18]: Exploiting Document Knowledge for Aspect-level Sentiment Classification. [paper] [code]

• [ACL-18]: Target-Sensitive Memory Networks for Aspect Sentiment Classification. [paper]

• [ACL-18]: Aspect Based Sentiment Analysis with Gated Convolutional Networks. [paper] [code]

• [ACL-18]: Multi-grained Attention Network for Aspect-Level Sentiment Classification. [paper] [code]

• [ACL-18]: Transformation Networks for Target-Oriented Sentiment Classification. [paper] [code]

• [IJCAI-18]: Aspect Sentiment Classification with both Word-level and Clause-level AttentionNetworks. [paper]

• [COLING-18]: Effective Attention Modeling for Aspect-Level Sentiment Classification. [paper]

• [COLING-18]: Enhanced Aspect Level Sentiment Classification with Auxiliary Memory. [paper] [code]

• [COLING-18]: A Position-aware Bidirectional Attention Network for Aspect-levelSentiment Analysis. [paper]

• [COLING-18]: Document-level Multi-aspect Sentiment Classification by JointlyModeling Users, Aspects, and Overall Ratings. [paper]

• [EMNLP-18]: IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis. [paper] [code]

• [EMNLP-18]: Aspect Based Sentiment Analysis into the Wild. [paper] [data]

• [EMNLP-18]: Joint Aspect and Polarity Classification for Aspect-based SentimentAnalysis with End-to-End Neural Networks. [paper]

• [EMNLP-18]: Multi-grained Attention Network for Aspect-LevelSentiment Classification. [paper] [code]

• [EMNLP-18]: Parameterized Convolutional Neural Networks for Aspect LevelSentiment Classification. [paper]

• [EMNLP-18]: Joint Learning for Targeted Sentiment Analysis. [paper]

• [SBP-BRiMS-18]: Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks. [paper] [code]

• [AAAI-19]: Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification. [paper] [data]

• [AAAI-19]: A Unified Model for Opinion Target Extraction and Target Sentiment Prediction. [paper] [code]

• [NAACL-19]: BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. [paper] [code]

• [NAACL-19]: Utilizing BERT for Aspect-Based Sentiment Analysisvia Constructing Auxiliary Sentence. [paper] [code]

• [ACL-19]: An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis. [paper] [code]

• [ACL-19]: Progressive Self-Supervised Attention Learning forAspect-Level Sentiment Analysis. [paper] [code]

• [ACL-19]: Transfer Capsule Network for Aspect Level Sentiment Classification. [paper] [code]

• [EMNLP-19]: Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks. [paper] [code]

• [EMNLP-19]: Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree. [paper] [code]

• [EMNLP-19]: Capsule Network with Interactive Attention for Aspect-Level Sentiment Classification. [paper]

• [EMNLP-19]: Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. [paper] [code]

• [EMNLP-19]: CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis. [paper]

• [EMNLP-19]: A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis. [paper] [code]

• [EMNLP-19]: A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis. [paper] [code]

• [EMNLP-19]: Learning Explicit and Implicit Structures for Targeted Sentiment Analysis. [paper] [code]

• [EMNLP-19]: Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks. [paper]

• [EMNLP-19]: Recognizing Conflict Opinions in Aspect-level Sentiment Classification with Dual Attention Networks. [paper] [code]

• [arXiv-19]: Attentional Encoder Network for Targeted Sentiment Classification. [paper] [code]

• [arXiv-19]: Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classification. [paper] [code]

• [arXiv-19]: A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution. [paper]

• [AAAI-20]: Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis. [paper]

Aspect Extraction

• [AAAI-17]: Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms. [paper]

• [ACL-17]: An Unsupervised Neural Attention Model for Aspect Extraction. [paper] [code]

• [IJCAI-18]: Aspect Term Extraction with History Attention and Selective Transformation. [paper]

• [ACL-18]: Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. [paper] [code]

• [EMNLP-18]: ExtRA: Extracting Prominent Review Aspects from Customer Feedback. [paper]

• [ACL-19]: Annotation and Automatic Classification of Aspectual Categories. [paper] [code]

• [ACL-19]: Exploring Sequence-to-Sequence Learning in Aspect Term Extraction. [paper]

• [ACL-19]: DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction. [paper] [code]

Target-oriented Opinion Words Extraction

• [NAACL-19]: Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling. [paper] [code]

Jointly Extract Aspect and Classify Aspect Sentiment

• [AAAI-19]: A Unified Model for Opinion Target Extraction and Target Sentiment Prediction. [paper] [code]

• [ACL-19]: Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification. [paper]