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Exploiting Document Knowledge for Aspect-level Sentiment Classification

arXiv 1806.04346 ↗First posted 12 Jun 2018cs.CLcited by 19

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Abstract (arXiv)

Attention-based long short-term memory (LSTM) networks have proven to be useful in aspect-level sentiment classification. However, due to the difficulties in annotating aspect-level data, existing public datasets for this task are all relatively small, which largely limits the effectiveness of those neural models. In this paper, we explore two approaches that transfer knowledge from document- level data, which is much less expensive to obtain, to improve the performance of aspect-level sentiment classification. We demonstrate the effectiveness of our approaches on 4 public datasets from SemEval 2014, 2015, and 2016, and we show that attention-based LSTM benefits from document-level knowledge in multiple ways.

Key facts. Cited by 19 papers in the map (data through 14 Oct 2026). First posted on arXiv 12 Jun 2018.

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Citing papers per year: 2021: 6; 2022: 6; 2023: 2; 2024: 4; 2025: 1.

19 papers.

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  1. 2021Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extractioncited by 40
  2. 2022A Survey on Aspect-Based Sentiment Classificationcited by 18
  3. 2021Natural Language Processing in-and-for Design Researchcited by 15
  4. 2024Beyond Surface Similarity: Detecting Subtle Semantic Shifts in Financial Narrativescited by 13
  5. 2022A Span-level Bidirectional Network for Aspect Sentiment Triplet Extractioncited by 12
  6. 2021Understand me, if you refer to Aspect Knowledge: Knowledge-aware Gated Recurrent Memory Networkcited by 11
  7. 2021Unified Instance and Knowledge Alignment Pretraining for Aspect-based Sentiment Analysiscited by 11
  8. 2024Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysiscited by 11
  9. 2021Out of Context: A New Clue for Context Modeling of Aspect-based Sentiment Analysiscited by 8
  10. 2022Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysiscited by 6
  11. 2024Iterative Data Generation with Large Language Models for Aspect-based Sentiment Analysiscited by 6
  12. 2022AX-MABSA: A Framework for Extremely Weakly Supervised Multi-label Aspect Based Sentiment Analysiscited by 2
7 more
  1. 2022Zero-shot Aspect-level Sentiment Classification via Explicit Utilization of Aspect-to-Document Sentiment Compositioncited by 1
  2. 2024SumHiS: Extractive Summarization Exploiting Hidden Structurecited by 1
  3. 2025Dynamic Span Interaction and Graph-Aware Memory for Entity-Level Sentiment Classificationcited by 1
  4. 2021Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment Analysiscited by 0
  5. 2022Hindi/Bengali Sentiment Analysis Using Transfer Learning and Joint Dual Input Learning with Self Attentioncited by 0
  6. 2023From Stars to Insights: Exploration and Implementation of Unified Sentiment Analysis with Distant Supervisioncited by 0
  7. 2023Syntax-Informed Interactive Model for Comprehensive Aspect-Based Sentiment Analysiscited by 0