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:
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Subtask 1: Aspect term extraction
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Subtask 2: Aspect term polarity
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Subtask 3: Aspect category detection
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Subtask 4: Aspect category polarity
- SentiHood: Sentihood: Targeted aspect based sentiment analysis dataset for urban neighbourhoods. COLING 2016. [paper] [data]
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TD_LSTM: Effective LSTMs for Target-Dependent Sentiment Classification. COLING 2016. [paper] [code]
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DMUE: Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis. NAACL 2018. [paper] [code]
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MemNet: Aspect Level Sentiment Classification with Deep Memory Network. EMNLP 2016. [paper] [code]
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DAuM: Enhanced Aspect Level Sentiment Classification with Auxiliary Memory. COLING 2018. [paper] [code]
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AEN: Attentional Encoder Network for Targeted Sentiment Classification. arXiv preprint 2019. [paper] [code]
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ATAE_LSTM: Attention-based LSTM for Aspect-level Sentiment Classification. EMNLP 2016. [paper] [code]
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RAM: Recurrent Attention Network on Memory for Aspect Sentiment Analysis. EMNLP 2017. [paper] [code]
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IAN: Interactive Attention Networks for Aspect-Level Sentiment Classification. IJCAI 2017. [paper] [code]
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SysATT: Effective Attention Modeling for Aspect-Level Sentiment Classification. COLING 2018. [paper]
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MGAN: Multi-grained Attention Network for Aspect-LevelSentiment Classification. ACL 2018. [paper] [code]
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AOA_LSTM: Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks. SBP-BRiMS 2018. [paper] [code]
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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]
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Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification. ACL 2014. [paper]
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PhraseRNN: Phrase Recursive Neural Network for Aspect-based Sentiment Analysis. EMNLP 2015. [paper]
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AEN_BERT / BERT_SPC: Attentional Encoder Network for Targeted Sentiment Classification. arXiv preprint 2019. [paper] [code]
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BERT_PT: BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. NAACL 2019. [paper] [code]
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BERT-pair: Utilizing BERT for Aspect-Based Sentiment Analysisvia Constructing Auxiliary Sentence. NAACL 2019. [paper] [code]
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MGAN: Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification. AAAI 2019. [paper] [data]
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PRET & MULT: Exploiting Document Knowledge for Aspect-level Sentiment Classification. ACL 2018. [paper] [code]
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Aspect Specific Sentiment Analysis using Hierarchical Deep Learning. NIPS 2014 workshop. [paper]
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A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis. EMNLP 2016. [paper]
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Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM. AAAI 2018. [paper]
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Target-Sensitive Memory Networks for Aspect Sentiment Classification. ACL 2018. [paper]
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Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis. NAACL 2018. [paper]
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ABAE: An Unsupervised Neural Attention Model for Aspect Extraction. ACL 2017. [paper] [code]
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DECNN: Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. ACL 2018. [paper] [code]
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Unified: A Unified Model for Opinion Target Extraction and Target Sentiment Prediction. AAAI 2019. [paper] [code]
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Aspect Term Extraction with History Attention and Selective Transformation. IJCAI 2018. [paper]
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Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms. AAAI 2017. [paper]