A paper list for aspect based sentiment analysis.

The SemEval-2014 Task 4 contains two domain-specific datasets for laptops and restaurants, consisting of over 6K sentences with fine-grained aspect-level human annotations. [data]

The task consists of the following subtasks:

• Subtask 1: Aspect term extraction

• Subtask 2: Aspect term polarity

• Subtask 3: Aspect category detection

• Subtask 4: Aspect category polarity

• SentiHood: Sentihood: Targeted aspect based sentiment analysis dataset for urban neighbourhoods. COLING 2016. [paper] [data]

• TD_LSTM: Effective LSTMs for Target-Dependent Sentiment Classification. COLING 2016. [paper] [code]

• DMUE: Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis. NAACL 2018. [paper] [code]

• GCAE: Aspect Based Sentiment Analysis with Gated Convolutional Networks. ACL 2018. [paper] [code]

• MemNet: Aspect Level Sentiment Classification with Deep Memory Network. EMNLP 2016. [paper] [code]

• DAuM: Enhanced Aspect Level Sentiment Classification with Auxiliary Memory. COLING 2018. [paper] [code]

• AEN: Attentional Encoder Network for Targeted Sentiment Classification. arXiv preprint 2019. [paper] [code]

• ATAE_LSTM: Attention-based LSTM for Aspect-level Sentiment Classification. EMNLP 2016. [paper] [code]

• RAM: Recurrent Attention Network on Memory for Aspect Sentiment Analysis. EMNLP 2017. [paper] [code]

• IAN: Interactive Attention Networks for Aspect-Level Sentiment Classification. IJCAI 2017. [paper] [code]

• SysATT: Effective Attention Modeling for Aspect-Level Sentiment Classification. COLING 2018. [paper]

• MGAN: Multi-grained Attention Network for Aspect-LevelSentiment Classification. ACL 2018. [paper] [code]

• AOA_LSTM: Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks. SBP-BRiMS 2018. [paper] [code]

• Cabasc: Content Attention Model for Aspect Based Sentiment Analysis. WWW 2018. [paper] [code]

• TNet: Transformation Networks for Target-Oriented Sentiment Classification. ACL 2018. [paper] [code]

• Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification. ACL 2014. [paper]

• PhraseRNN: Phrase Recursive Neural Network for Aspect-based Sentiment Analysis. EMNLP 2015. [paper]

• AEN_BERT / BERT_SPC: Attentional Encoder Network for Targeted Sentiment Classification. arXiv preprint 2019. [paper] [code]

• BERT_PT: BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. NAACL 2019. [paper] [code]

• BERT-pair: Utilizing BERT for Aspect-Based Sentiment Analysisvia Constructing Auxiliary Sentence. NAACL 2019. [paper] [code]

• MGAN: Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification. AAAI 2019. [paper] [data]

• PRET & MULT: Exploiting Document Knowledge for Aspect-level Sentiment Classification. ACL 2018. [paper] [code]

• Aspect Specific Sentiment Analysis using Hierarchical Deep Learning. NIPS 2014 workshop. [paper]

• A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis. EMNLP 2016. [paper]

• Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM. AAAI 2018. [paper]

• Target-Sensitive Memory Networks for Aspect Sentiment Classification. ACL 2018. [paper]

• Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis. NAACL 2018. [paper]

• ABAE: An Unsupervised Neural Attention Model for Aspect Extraction. ACL 2017. [paper] [code]

• DECNN: Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. ACL 2018. [paper] [code]

• Unified: A Unified Model for Opinion Target Extraction and Target Sentiment Prediction. AAAI 2019. [paper] [code]

• Aspect Term Extraction with History Attention and Selective Transformation. IJCAI 2018. [paper]

• Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms. AAAI 2017. [paper]