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Aspect Level Sentiment Classification with Deep Memory Network

arXiv 1605.08900 ↗First posted 28 May 2016cs.CLcited by 82

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Abstract (arXiv)

We introduce a deep memory network for aspect level sentiment classification. Unlike feature-based SVM and sequential neural models such as LSTM, this approach explicitly captures the importance of each context word when inferring the sentiment polarity of an aspect. Such importance degree and text representation are calculated with multiple computational layers, each of which is a neural attention model over an external memory. Experiments on laptop and restaurant datasets demonstrate that our approach performs comparable to state-of-art feature based SVM system, and substantially better than LSTM and attention-based LSTM architectures. On both datasets we show that multiple computational layers could improve the performance. Moreover, our approach is also fast. The deep memory network with 9 layers is 15 times faster than LSTM with a CPU implementation.

Key facts. Cited by 82 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 May 2016.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 29; 2022: 20; 2023: 13; 2024: 12; 2025: 6; 2026: 2.

82 papers.

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  1. 2021A Unified Generative Framework for Aspect-Based Sentiment Analysiscited by 97
  2. 2021Achieving Forgetting Prevention and Knowledge Transfer in Continual Learningcited by 91
  3. 2022How would Stance Detection Techniques Evolve after the Launch of ChatGPT?cited by 76
  4. 2021A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysiscited by 61
  5. 2022A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challengescited by 61
  6. 2021Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Taskscited by 46
  7. 2021Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTacited by 41
  8. 2021Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extractioncited by 40
  9. 2021Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Trainingcited by 37
  10. 2021CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Taskscited by 29
  11. 2021Legal Judgment Prediction with Multi-Stage CaseRepresentation Learning in the Real Court Settingcited by 24
  12. 2023Adapting a Language Model While Preserving its General Knowledgecited by 23
38 more
  1. 2023Investigating Chain-of-thought with ChatGPT for Stance Detection on Social Mediacited by 23
  2. 2023On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Trainingcited by 20
  3. 2022A Survey on Aspect-Based Sentiment Classificationcited by 18
  4. 2023SciReviewGen: A Large-scale Dataset for Automatic Literature Review Generationcited by 17
  5. 2022Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysiscited by 16
  6. 2021Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classificationcited by 13
  7. 2022A Span-level Bidirectional Network for Aspect Sentiment Triplet Extractioncited by 12
  8. 2022METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweetscited by 12
  9. 2021Understand me, if you refer to Aspect Knowledge: Knowledge-aware Gated Recurrent Memory Networkcited by 11
  10. 2021Unified Instance and Knowledge Alignment Pretraining for Aspect-based Sentiment Analysiscited by 11
  11. 2022Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysiscited by 10
  12. 2022Joint Alignment of Multi-Task Feature and Label Spaces for Emotion Cause Pair Extractioncited by 10
  13. 2024Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysiscited by 10
  14. 2021Exploiting Position Bias for Robust Aspect Sentiment Classificationcited by 9
  15. 2021Out of Context: A New Clue for Context Modeling of Aspect-based Sentiment Analysiscited by 8
  16. 2022DigNet: Digging Clues from Local-Global Interactive Graph for Aspect-level Sentiment Classificationcited by 8
  17. 2021Reproducibility, Replicability and Beyond: Assessing Production Readiness of Aspect Based Sentiment Analysis in the Wildcited by 7
  18. 2021BERT4GCN: Using BERT Intermediate Layers to Augment GCN for Aspect-based Sentiment Classificationcited by 7
  19. 2021Deep Context- and Relation-Aware Learning for Aspect-based Sentiment Analysiscited by 6
  20. 2022Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysiscited by 6
  21. 2025Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysiscited by 6
  22. 2021Enhanced Aspect-Based Sentiment Analysis Models with Progressive Self-supervised Attention Learningcited by 5
  23. 2021To be Closer: Learning to Link up Aspects with Opinionscited by 5
  24. 2022Enhancing Event-Level Sentiment Analysis with Structured Argumentscited by 5
  25. 2024Stance Detection on Social Media with Fine-Tuned Large Language Modelscited by 5
  26. 2021Attention-based Contextual Language Model Adaptation for Speech Recognitioncited by 4
  27. 2021MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Taggingcited by 4
  28. 2021Jointly Modeling Aspect and Polarity for Aspect-based Sentiment Analysis in Persian Reviewscited by 4
  29. 2022PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysiscited by 4
  30. 2022Entity-level Sentiment Analysis in Contact Center Telephone Conversationscited by 4
  31. 2023RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysiscited by 4
  32. 2023Deep Learning-based Sentiment Classification: A Comparative Surveycited by 4
  33. 2021Arabic aspect based sentiment analysis using bidirectional GRU based modelscited by 3
  34. 2021Targeted aspect based multimodal sentiment analysis:an attention capsule extraction and multi-head fusion networkcited by 3
  35. 2021Interventional Aspect-Based Sentiment Analysiscited by 3
  36. 2021AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanationscited by 3
  37. 2022Please, Don't Forget the Difference and the Confidence Interval when Seeking for the State-of-the-Art Statuscited by 3
  38. 2024DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inferencecited by 3

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