Cross-lingual Aspect-Based Sentiment Analysis: A Survey on Tasks, Approaches, and Challenges
Not on the map. Why?
Abstract (arXiv)
Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analysis task that focuses on understanding opinions at the aspect level, including sentiment towards specific aspect terms, categories, and opinions. While ABSA research has seen significant progress, much of the focus has been on monolingual settings. Cross-lingual ABSA, which aims to transfer knowledge from resource-rich languages (such as English) to low-resource languages, remains an under-explored area, with no systematic review of the field. This paper aims to fill that gap by providing a comprehensive survey of cross-lingual ABSA. We summarize key ABSA tasks, including aspect term extraction, aspect sentiment classification, and compound tasks involving multiple sentiment elements. Additionally, we review the datasets, modelling paradigms, and cross-lingual transfer methods used to solve these tasks. We also examine how existing work in monolingual and multilingual ABSA, as well as ABSA with LLMs, contributes to the development of cross-lingual ABSA. Finally, we highlight the main challenges and suggest directions for future research to advance cross-lingual ABSA systems.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 58 of its 134 references that are in the map. First posted on arXiv 13 Aug 2025.
Builds on
58 of 134 references.
References · 58
- 2017Attention Is All You Needcited by 60,361
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
- 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,380
- 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,459
- 2022PaLM: Scaling Language Modeling with Pathwayscited by 5,326
- 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
- 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,474
- 2023QLoRA: Efficient Finetuning of Quantized LLMscited by 3,418
- 2017Prototypical Networks for Few-shot Learningcited by 3,015
- 2014Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modelingcited by 2,367
- 2020DeBERTa: Decoding-enhanced BERT with Disentangled Attentioncited by 2,181
- 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,818
38 more
- 2016Enriching Word Vectors with Subword Informationcited by 1,583
- 2020XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalizationcited by 742
- 2019How multilingual is Multilingual BERT?cited by 645
- 2020Language-agnostic BERT Sentence Embeddingcited by 627
- 2020MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfercited by 445
- 2019Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERTcited by 301
- 2024Aya Model: An Instruction Finetuned Open-Access Multilingual Language Modelcited by 295
- 2023Sentiment Analysis in the Era of Large Language Models: A Reality Checkcited by 268
- 2019Cross-Lingual Ability of Multilingual BERT: An Empirical Studycited by 182
- 2023Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approachcited by 168
- 2023Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERTcited by 155
- 2017A Survey Of Cross-lingual Word Embedding Modelscited by 143
- 2019Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysiscited by 123
- 2021Aspect Sentiment Quad Prediction as Paraphrase Generationcited by 100
- 2020Position-Aware Tagging for Aspect Sentiment Triplet Extractioncited by 91
- 2023Reasoning Implicit Sentiment with Chain-of-Thought Promptingcited by 80
- 2020Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Researchcited by 67
- 2022A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challengescited by 61
- 2023MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Predictioncited by 50
- 2022Controllable Dialogue Simulation with In-Context Learningcited by 42
- 2023The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Taskscited by 35
- 2016SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoodscited by 32
- 2024Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Modelscited by 31
- 2022Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentationcited by 30
- 2020Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysiscited by 23
- 2020Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyondcited by 22
- 2018Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translationcited by 19
- 2021ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Predictioncited by 18
- 2022A Survey on Aspect-Based Sentiment Classificationcited by 18
- 2024PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysiscited by 13
- 2017W2VLDA: Almost Unsupervised System for Aspect Based Sentiment Analysiscited by 12
- 2019Zero-Shot Cross-Lingual Opinion Target Extractioncited by 11
- 2020Improving Sentiment Analysis over non-English Tweets using Multilingual Transformers and Automatic Translation for Data-Augmentationcited by 9
- 2018Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languagescited by 7
- 2021Are the Multilingual Models Better? Improving Czech Sentiment with Transformerscited by 7
- 2022CL-XABSA: Contrastive Learning for Cross-lingual Aspect-based Sentiment Analysiscited by 6
- 2024Iterative Data Generation with Large Language Models for Aspect-based Sentiment Analysiscited by 6
- 2023Improving Aspect-Based Sentiment with End-to-End Semantic Role Labeling Modelcited by 5
50 most cited of 58 All 58 (JSON)
Built on by
Citing papers per year: 2025: 1.
1 paper.