Aspect-Based Sentiment Analysis

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Aspect-Based Sentiment Analysis studies how to find opinion targets—such as food, service, or battery life—and link them to sentiment, opinion terms, or explanations. Common tasks include aspect and opinion span extraction, triplet and quadruple prediction, implicit aspect identification, and valence-arousal scoring. Methods range from fine-tuned Transformer encoders, sequence labeling, and syntax or graph models to prompted or fine-tuned large language models, often supported by synthetic data, verification, or distillation. A central challenge is making structured predictions reliable across domains and languages while reducing annotation and inference costs, especially where labeled data are scarce.

Latest papers

52 papers4 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

Adapting LLM-SC to Living Sacred Heritage: Domain-Specific Extraction, Semantic Networks and Human Evaluation on Pashupatinath Temple Reviews
Oct 26, 2026Hari Sitaula, Manish Sakhakarmy, Pujan Pant +1LLM Information Extraction Document Information Extraction
Department of Mathematical Sciences, Montana Technological University, Butte, MT 59701, USA · ASI Industrial, Billings, MT 59101, USA · Herald College Kathmandu, University of Wolverhampton, Naxal, Kathmandu 44600, Nepal
Dependency Reasoning for Aspect Sentiment Quadruple Prediction
Oct 10, 2026Shima Esfandyari, Seywan Soleymanbaigi, Fardin Akhlaghian Tab +2Aspect-Based Sentiment Analysis LLM Prompting
Department of Computer Engineering, University of Kurdistan, Sanandaj, Iran · University of Oulu, Finland
Structured Sentiment Analysis Using Sequence Labeling as Dependency Graph Parsing
Oct 8, 2026Muhammad Imran, Ana Ezquerro, Carlos Gómez-Rodríguez +2Sentiment Analysis Aspect-Based Sentiment Analysis
Universidade da Coruña, CITIC, Departamento de Ciencias de la Computación y Tecnologías de la Información, Campus de Elviña s/n, 15071, A Coruña, Spain · Graz University of Technology, Institute in Machine Learning and Neural Computation, Rechbauerstraße 12, 8010, Graz, Austria · University of Copenhagen, Department of Computer Science, Lyngbyvej 2, DK-2100, Copenhagen, Denmark
BARRAC: Adaptation of an English Aspect-based Sentiment Analysis Approach for Classification Tasks in Arabic Dialects
Sep 30, 2026Ali Almutairi, Gelareh Mohammadi, Imran Razzak +1Arabic NLP Sentiment Analysis
University of New South Wales, Australia · MBZUAI, UAE
Decide, Don't Generate: Competitive Dimensional ABSA with Jev's Typed Decisions
Sep 28, 2026Yiqun Zhang, Peidong Wang, Zihan Wang +1Sentiment Analysis Aspect-Based Sentiment Analysis
Northeastern University, China
CrisisKD: Five-Stage Knowledge Distillation for Aspect-Level Sentiment and Emotion Analysis in Crisis Discourse
Sep 4, 2026Marko Haralović, Onat Akca, Salih Eren Yücetürk +2Aspect-Based Sentiment Analysis Knowledge Distillation
Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente · Faculty of Electrical Engineering and Computing, University of Zagreb · Faculty of Behavioural, Management and Social Sciences, University of Twente
Generative Models Enhanced by Sequence Labelling and Aspect-Code Switching Improve Cross-lingual Aspect-Based Sentiment Analysis
Aug 31, 2026Jakub Šmíd, Pavel Přibáň, Pavel KrálAspect-Based Sentiment Analysis Cross-Lingual Transfer
Department of Computer Science and Engineering · NTIS – New Technologies for the Information Society · University of West Bohemia in Pilsen, Faculty of Applied Sciences +1
STAR-OPD: Structured Aspect-Cascade-Aware On-Policy Reward Distillation for ABSA Quadruple Extraction
Aug 21, 2026Tong Sun, Mingyang Ma, Jiayang YuRL for Knowledge Distillation Aspect-Based Sentiment Analysis
Alibaba International Digital Commerce Group
ViTOED: A Dataset for Target-Oriented Emotion Detection on Vietnamese Social Media Texts
Aug 13, 2026Chanh Vo, Son T. Luu, Ngan Luu-Thuy NguyenSentiment Analysis Aspect-Based Sentiment Analysis
Faculty of Information Science and Engineering, University of Information Technology, Ho Chi Minh City · Vietnam National University, Ho Chi Minh City, Vietnam
Mind the Gap: A Dual Knowledge Graph Framework for Unified Multi-task User Intent Inference
Aug 7, 2026Tzu-Cheng Peng, Chien Chin Chen, Chih-Hao Ku +1KG Entity Alignment KG Construction
National Taiwan University · National Taiwan University, Taiwan · University of North Texas +3
Language-Specific versus Cross-Lingual Knowledge Graphs for Implicit Aspect Identification in Arabic: A Comparative Study of Reasoning and Adaptation Strategies
Jul 22, 2026Lujain A. AlawwadArabic NLP Aspect-Based Sentiment Analysis
Department of Computing and Informatics Saudi Electronic University Riyadh, Saudi Arabia
Constraint-Aware Counterfactual Editing for Aspect-Based Sentiment Analysis
Jul 15, 2026S M Rafiuddin, Vamsi Krishna Pavuluri, Atriya SenCounterfactual Evaluation Counterfactual Explanations
Department of Computer Science, Oklahoma State University, Stillwater, Oklahoma, USA
MASTE: A Multi-Agent Pipeline for Zero-Shot Aspect Sentiment Triplet Extraction
Jul 9, 2026Ao Hong, Lehang Wang, Zhirun Yue +3Zero-Shot Learning Aspect-Based Sentiment Analysis
Tsinghua University · Wuhan University
SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis
Jul 6, 2026Lakshani Galwatta, Nisansa de Silva, Sarangi Aththanayake +1Aspect-Based Sentiment Analysis Low-Resource Language Processing
Dept. of Computer Science & Engineering, University of Moratuwa, Sri Lanka. · School of Technologies, Cardiff Metropolitan university, United Kingdom.
The Classics at SemEval-2026 Task 3: Combining Transformer Models and LLM-Generated Annotations for Dimensional Aspect-Based Sentiment Analysis
Jul 3, 2026Rafif Alshawi, Amit Raj, Aleksey Kudelya +1Sentiment Analysis Aspect-Based Sentiment Analysis
HSE University
Aspect-Based Sentiment Evolution and its Correlation with Review Rounds in Multi-Round Peer Reviews: A Deep Learning Approach
Jun 23, 2026Ruxue Hana, Haomin Zhoua, Jiangtao Zhong +1Sentiment Analysis Scholarly Peer Review
School of Economics and Management, East China Normal University, Shanghai 200062, People’s Republic of China · Department of Information Management, Nanjing University of Science and Technology, Nanjing 210094, People’s Republic of China
ACAT: A Collaborative Platform for Efficient Aspect-Based Sentiment Dataset Annotation
Jun 2, 2026Ana-Maria Luisa Mocanu, Ciprian-Octavian Truica, Elena-Simona ApostolHuman-in-the-Loop Annotation Aspect-Based Sentiment Analysis
1National University of Science and Technology POLITEHNICA Bucharest, Romania · 2Academy of Romanian Scientists, Ilfov 3, Bucharest, 050044, Romania
DiffuSent: Towards a Unified Diffusion Framework for Aspect-Based Sentiment Analysis
May 31, 2026Shu Long, Yanglei Gan, Xuchuan ZhouAspect-Based Sentiment Analysis Conditional Diffusion Models
University of Electronic Science and Technology of China · Southwest Petroleum University · Southwest Minzu University
Fine-grained Verification via Diagnostic Reasoning Supervision for Aspect Sentiment Triplet Extraction
May 29, 2026Wenna Lai, Haoran Xie, Guandong Xu +2Aspect-Based Sentiment Analysis
The Hong Kong Polytechnic University, China · Lingnan University, China · Education University of Hong Kong, China
Prompting Is All You Need: Multi-view Prompting Large Language Models for Aspect-Based Sentiment Analysis
May 27, 2026Nils Constantin Hellwig, Niklas Donhauser, Jakob Fehle +2LLM Prompting Few-Shot Prompting
1Media Informatics Group, University of Regensburg, Germany · 2Information Science Group, University of Regensburg, Germany
A Controlled Synthetic Benchmark for Educational Aspect-Based Sentiment Analysis
May 25, 2026Yehudit Aperstein, Alexander ApartsinEducational Technology Synthetic Benchmark Generation
Intelligent Systems, Afeka Academic College of Engineering, Tel Aviv, Israel · School of Computer Science, Faculty of Sciences, Holon Institute of Technology, Holon, Israel
SentimentLens: Reconciling Sentiment and Ratings via Dual-Modality in the Hospitality Sector
May 22, 2026Dineth Jayakody, Pasindu Thenahandi, Sampath JayarathnaAspect-Based Sentiment Analysis
Department of Computer Science Old Dominion University Norfolk, Virginia, USA
GHI: Graphormer over Conditioned Hypergraph Incidence for Aspect-Based Sentiment Analysis
May 21, 2026Yu Du, Wenlong Zhu, Xingze Li +3Hypergraph Neural Networks Aspect-Based Sentiment Analysis
Qiqihar University
Single-Pass, Depth-Selective Reading for Multi-Aspect Sentiment Analysis
May 20, 2026Yan Xia, Zhuangzhuang Pan, Amirrudin Kamsin +1Aspect-Based Sentiment Analysis Efficient Language Model Inference
1Universiti Malaya, Malaysia · 2Suzhou University of Technology, China · 3VinUniversity, Vietnam
Task-Routed Mixture-of-Experts with Cognitive Appraisal for Implicit Sentiment Analysis
May 20, 2026Yaping Chai, Haoran Xie, Joe S. QinSentiment Analysis Multi-Task Learning
Division of Artificial Intelligence, Lingnan University, Hong Kong
ICT-NLP at SemEval-2026 Task 3: Less Is More -- Multilingual Encoder with Joint Training and Adaptive Ensemble for Dimensional Aspect Sentiment Regression
May 11, 2026Liyuan Huang, Jiawei He, Wutao Shen +2Aspect-Based Sentiment Analysis Multilingual Sentiment Analysis
1State Key Laboratory of AI Safety · Institute of Computing Technology, Chinese Academy of Sciences · University of Chinese Academy of Sciences
DECO-MWE: building a linguistic resource of Korean multiword expressions for feature-based sentiment analysis
May 11, 2026Jaeho Han, Changhoe Hwang, Seongyong Choi +3Sentiment Analysis Aspect-Based Sentiment Analysis
DICORA, Department of Linguistics and Cognitive Science, Hankuk University of Foreign Studies, Korea · Université Paris-Est, LIGM, CNRS, UPEM, ESIEE, ENPC, France
SSP-based construction of evaluation-annotated data for fine-grained aspect-based sentiment analysis
May 8, 2026Suwon Choi, Shinwoo Kim, Changhoe Hwang +3Aspect-Based Sentiment Analysis
DICORA, Hankuk University of Foreign Studies · LIGM, Université Gustave Eiffel
Annotation Quality in Aspect-Based Sentiment Analysis: A Case Study Comparing Experts, Students, Crowdworkers, and Large Language Model
May 5, 2026Niklas Donhauser, Jakob Fehle, Nils Constantin Hellwig +3Annotator Disagreement LLM-Assisted Annotation
Media Informatics Group, University of Regensburg, Regensburg, Germany · Information Science Group, University of Regensburg, Regensburg, Germany
TCDA: Thread-Constrained Discourse-Aware Modeling for Conversational Sentiment Quadruple Analysis
May 3, 2026Xinran Li, Xinze Che, Yifan Lyu +2Rotary Positional Embeddings Graph Neural Networks
School of Software, Dalian University of Technology, Dalian, China · School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China

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Adapting LLM-SC to Living Sacred Heritage: Domain-Specific Extraction, Semantic Networks and Human Evaluation on Pashupatinath Temple Reviews

Hari Sitaula, Manish Sakhakarmy, Pujan Pant, Sagar Newpane

Department of Mathematical Sciences, Montana Technological University, Butte, MT 59701, USA · ASI Industrial, Billings, MT 59101, USA · Herald College Kathmandu, University of Wolverhampton, Naxal, Kathmandu 44600, Nepal

LLM Information Extraction Document Information Extraction KG Construction Digital Cultural Heritage Ontology-Guided Information Extraction Aspect-Based Sentiment Analysis

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Large language model (LLM) pipelines can turn visitor reviews into structured data, but generic schemes may miss rituals, sacred spaces, cultural restrictions and emotionally mixed experiences at living sacred heritage sites. We adapted the LLM-Social Computing (LLM-SC) framework to Pashupatinath Temple, Nepal, by specifying a 12-type entity taxonomy (four original LLM-SC types plus eight sacred-heritage types), four relation types and nine aspect-sentiment dimensions in a GPT-4o extraction prompt, which was applied to a fixed random sample of 2,500 English-language Tripadvisor reviews from a processed corpus of 3,939. The exports contain 11,286 entity, 6,232 aspect-sentiment and 5,590 relation records, covering 2,485, 2,487 and 2,433 reviews, respectively; the eight added sacred-heritage types account for 64.8% of entity records. Against an adjudicated two-annotator reference for 200 reviews, exact normalized surface-and-type matching gave provisional entity scores of 41.0% precision, 21.8% recall and 28.4% micro-F1. Aspect-presence F1 was 53.6% and end-to-end aspect-plus-polarity F1 was 42.6%. Human adjudication supported 153 of 194 first-listed relation candidates (one per review; 78.9%), a candidate-level rate that does not estimate relation recall or whole-graph precision. The contribution is a culturally grounded, domain-specific adaptation with component-wise human evaluation and explicit reproducibility and generalization limitations.