Research graph
References from Evaluating fine-tuned, embedding-based, and zero-shot models for aspect-based sentiment analysis in South Slavic news. Local targets link to admitted publications; unresolved targets remain external evidence.
Annotation quality versus quantity for object detection and instance segmentation
10.1109/access.2024.3467008 · 2024 · External reference
Evaluating and explaining training strategies for zero-shot cross-lingual news sentiment analysis
10.48550/arxiv.2409.20054 · 2024 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Salad: Improving robustness and generalization through contrastive learning with structure-aware and llm-driven augmented data
10.48550/arxiv.2504.12185 · 2025 · External reference
“Scaling to very very large corpora for natural language disambiguation,”
10.3115/1073012.1073017 · 2001 · External reference
“Target two birds with one SToNe: entity-level sentiment and tone analysis in Croatian news headlines,”
10.18653/v1/2023.bsnlp-1.10 · 2023 · External reference
Unresolved reference
2020 · External reference
Unresolved reference
2025 · External reference
Random forests
10.1023/a:1010933404324 · 2001 · External reference
10.48550/arxiv.2307.00374
10.48550/arxiv.2307.00374 · 2023 · External reference
“A review of datasets for aspect-based sentiment analysis,”
10.18653/v1/2023.ijcnlp-main.41 · 2023 · External reference
Bge m3-embedding: multi-lingual, multi-functionality, multi-granularity text embeddings through self-knowledge distilllation
10.48550/arxiv.2402.03216 · 2024 · External reference
“Unsupervised cross-lingual representation learning at scale,”
10.18653/v1/2020.acl-main.747 · 2020 · External reference
“Boosting large language models with continual learning for aspect-based sentiment analysis,”
2024 · External reference
Limited generalizability in argument mining: State-of-the-art models learn datasets, not arguments
10.48550/arxiv.2505.22137 · 2025 · External reference
Predicting sample size required for classification performance
10.1186/1472-6947-12-8 · 2012 · External reference
“Selective classification for deep neural networks,”
2017 · External reference
Unresolved reference
2025 · External reference
“Benchmarking long-tail generalization with likelihood splits,”
2023 · External reference
Unresolved reference
2023 · External reference
Unresolved reference
2025 · External reference
The analysis of ordinal agreement data: beyond weighted kappa
10.1016/0895-4356(93)90173-x · 1993 · External reference
“NewsMTSC: a dataset for (multi-)target-dependent sentiment classification in political news articles,”
10.18653/v1/2021.eacl-main.142 · 2021 · External reference
“Controlled dropout for uncertainty estimation,”
10.48550/arxiv.2205.03109 · 2022 · External reference
Unresolved reference
2009 · External reference
Unresolved reference
2023 · External reference
Studying and benchmarking large language models for log level suggestion
10.48550/arxiv.2410.08499 · 2024 · External reference
A systematic review of aspect-based sentiment analysis: domains, methods, and trends
10.1007/s10462-024-10906-z · 2024 · External reference
Multi-view attention syntactic enhanced graph convolutional network for aspect-based sentiment analysis
10.48550/arxiv.2501.15968 · 2025 · External reference
Active learning for reducing labeling effort in text classification tasks
10.48550/arxiv.2109.04847 · 2021 · External reference
Aspect-based sentiment analysis techniques: a comparative study
10.48550/arxiv.2407.02834 · 2024 · External reference
Fasttext.zip: compressing text classification models
10.48550/arxiv.1612.03651 · 2016 · External reference
“Bag of tricks for efficient text classification,”
2017 · External reference
Dspy: compiling declarative language model calls into self-improving pipelines
10.48550/arxiv.2310.03714 · 2023 · External reference
“Adam: a method for stochastic optimization,”
2015 · External reference
L2d-clinical: learning to defer for adaptive model selection in clinical text classification
10.48550/arxiv.2604.13285 · 2026 · External reference
Sentencepiece: a simple and language independent subword tokenizer and detokenizer for neural text processing
10.48550/arxiv.1808.06226 · 2018 · External reference
Unresolved reference
2021 · External reference
“Predict responsibly: improving fairness and accuracy by learning to defer,”
2018 · External reference
“UzABSA: aspect-based sentiment analysis for the Uzbek language,”
2024 · External reference
Sentiment analysis algorithms and applications: a survey
10.1016/j.asej.2014.04.011 · 2014 · External reference
Unresolved reference
2023 · External reference
“Learning-to-defer with expert-conditional advice,”
2026 · External reference
Unresolved reference
2020 · External reference
“Aspect-based sentiment analysis as fine-grained opinion mining,”
2020 · External reference
Social media sentiment analysis for brand reputation management
10.2139/ssrn.4906218 · 2024 · External reference
Gpt-4o system card
2024 · External reference
Unresolved reference
External reference
Optimizing instructions and demonstrations for multi-stage language model programs
10.48550/arxiv.2406.11695 · 2024 · External reference
Art: automatic multi-step reasoning and tool-use for large language models
10.48550/arxiv.2303.09014 · 2023 · External reference
“Automatic differentiation in pytorch,”
2017 · External reference
10.48550/arxiv.1905.03423
10.48550/arxiv.1905.03423 · 2019 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
“Entity-level sentiment analysis (ELSA): an exploratory task survey,”
2022 · External reference
“A hierarchical model of reviews for aspect-based sentiment analysis,”
2016 · External reference
“BENCHić-lang: a benchmark for discriminating between Bosnian, Croatian, Montenegrin and Serbian,”
2023 · External reference
10.48550/arxiv.2008.07267
10.48550/arxiv.2008.07267 · 2020 · External reference
Unresolved reference
2010 · External reference
Deepseekmath: Pushing the limits of mathematical reasoning in open language models
10.48550/arxiv.2402.03300 · 2024 · External reference
Unresolved reference
2022 · External reference
Zero-shot aspect-based sentiment analysis
10.48550/arxiv.2202.01924 · 2022 · External reference
Unresolved reference
External reference
“A sequence-to-structure approach to document-level targeted sentiment analysis,”
2023 · External reference
10.18653/v1/2024.emnlp-main.597
10.18653/v1/2024.emnlp-main.597 · 2024 · External reference
Harnessing domain insights: A prompt knowledge tuning method for aspect-based sentiment analysis
10.1016/j.knosys.2024.111975 · 2024 · External reference
“Autogluon-multimodal (automm): supercharging multimodal automl with foundation models,”
2024 · External reference
Explainability through uncertainty: Trustworthy decision-making with neural networks
10.1016/j.ejor.2023.09.009 · 2024 · External reference
Unresolved reference
2026 · External reference
“Approximating learning curves for active-learning-driven annotation,”
10.63317/4smeu6r7yan5 · 2008 · External reference
“Sloberta: Slovene monolingual large pretrained masked language model,”
2021 · External reference
“Generative model for less-resourced language with 1 billion parameters,”
2024 · External reference
“In-context example retrieval from multi-perspectives for few-shot aspect-based sentiment analysis,”
10.63317/4hb5dcxvoz5q · 2024 · External reference
“Baselines and bigrams: simple, good sentiment and topic classification,”
2012 · External reference
“Smarter, better, faster, longer: a modern bidirectional encoder for fast, memory efficient, and long context finetuning and inference,”
10.18653/v1/2025.acl-long.127 · 2025 · External reference
10.1109/jcdl52503.2021.00038
10.1109/jcdl52503.2021.00038 · 2021 · External reference
“Chain-of-thought prompting elicits reasoning in large language models,”
10.52202/068431-1800 · 2022 · External reference
“Transformers: state-of-the-art natural language processing,”
10.18653/v1/2020.emnlp-demos.6 · 2020 · External reference
Stacked generalization
10.1016/s0893-6080(05)80023-1 · 1992 · External reference
M-absa: a multilingual dataset for aspect-based sentiment analysis
10.48550/arxiv.2502.11824 · 2025 · External reference
Evaluating zero-shot multilingual aspect-based sentiment analysis with large language models
10.1007/s13042-025-02711-z · 2025 · External reference
Unresolved reference
2025 · External reference
“Tasty burgers, soggy fries: probing aspect robustness in aspect-based sentiment analysis,”
10.18653/v1/2020.emnlp-main.292 · 2020 · External reference
10.18653/v1/2021.naacl-main.41
10.18653/v1/2021.naacl-main.41 · 2021 · External reference
“Modeling complex interactions in long documents for aspect-based sentiment analysis,”
2024 · External reference
“Hierarchical attention networks for document classification,”
10.18653/v1/n16-1174 · 2016 · External reference
“Benchmarking zero-shot text classification: Datasets, evaluation and entailment approach,”
2019 · External reference
From system 1 to system 2: A survey of reasoning large language models
10.48550/arxiv.2502.17419 · 2025 · External reference
A survey of reinforcement learning for large reasoning models
10.48550/arxiv.2509.08827 · 2025 · External reference
A survey on aspect-based sentiment analysis: tasks, methods, and challenges
10.48550/arxiv.2203.01054 · 2022 · External reference
“Character-level convolutional networks for text classification,”
2015 · External reference
“Calibrate before use: Improving few-shot performance of language models,”
2021 · External reference
Emograce: aspect-based emotion analysis for social media data
10.48550/arxiv.2503.15133 · 2025 · External reference
A systematic review of aspect-based sentiment analysis: domains, methods, and trends
10.1007/s10462-024-10906-z · ExternalCitation · doi-reference
Evaluating zero-shot multilingual aspect-based sentiment analysis with large language models
10.1007/s13042-025-02711-z · ExternalCitation · doi-reference
The analysis of ordinal agreement data: beyond weighted kappa
10.1016/0895-4356(93)90173-x · ExternalCitation · doi-reference
Sentiment analysis algorithms and applications: a survey
10.1016/j.asej.2014.04.011 · ExternalCitation · doi-reference
Explainability through uncertainty: Trustworthy decision-making with neural networks
10.1016/j.ejor.2023.09.009 · ExternalCitation · doi-reference
Harnessing domain insights: A prompt knowledge tuning method for aspect-based sentiment analysis
10.1016/j.knosys.2024.111975 · ExternalCitation · doi-reference
Stacked generalization
10.1016/s0893-6080(05)80023-1 · ExternalCitation · doi-reference
Random forests
10.1023/a:1010933404324 · ExternalCitation · doi-reference
Annotation quality versus quantity for object detection and instance segmentation
10.1109/access.2024.3467008 · ExternalCitation · doi-reference
10.1109/jcdl52503.2021.00038
10.1109/jcdl52503.2021.00038 · ExternalCitation · doi-reference
Predicting sample size required for classification performance
10.1186/1472-6947-12-8 · ExternalCitation · doi-reference
“Unsupervised cross-lingual representation learning at scale,”
10.18653/v1/2020.acl-main.747 · ExternalCitation · doi-reference
“Transformers: state-of-the-art natural language processing,”
10.18653/v1/2020.emnlp-demos.6 · ExternalCitation · doi-reference
“Tasty burgers, soggy fries: probing aspect robustness in aspect-based sentiment analysis,”
10.18653/v1/2020.emnlp-main.292 · ExternalCitation · doi-reference
“NewsMTSC: a dataset for (multi-)target-dependent sentiment classification in political news articles,”
10.18653/v1/2021.eacl-main.142 · ExternalCitation · doi-reference
10.18653/v1/2021.naacl-main.41
10.18653/v1/2021.naacl-main.41 · ExternalCitation · doi-reference
“Target two birds with one SToNe: entity-level sentiment and tone analysis in Croatian news headlines,”
10.18653/v1/2023.bsnlp-1.10 · ExternalCitation · doi-reference
“A review of datasets for aspect-based sentiment analysis,”
10.18653/v1/2023.ijcnlp-main.41 · ExternalCitation · doi-reference
10.18653/v1/2024.emnlp-main.597
10.18653/v1/2024.emnlp-main.597 · ExternalCitation · doi-reference
“Smarter, better, faster, longer: a modern bidirectional encoder for fast, memory efficient, and long context finetuning and inference,”
10.18653/v1/2025.acl-long.127 · ExternalCitation · doi-reference
“Hierarchical attention networks for document classification,”
10.18653/v1/n16-1174 · ExternalCitation · doi-reference
Social media sentiment analysis for brand reputation management
10.2139/ssrn.4906218 · ExternalCitation · doi-reference
“Scaling to very very large corpora for natural language disambiguation,”
10.3115/1073012.1073017 · ExternalCitation · doi-reference
Fasttext.zip: compressing text classification models
10.48550/arxiv.1612.03651 · ExternalCitation · doi-reference
Sentencepiece: a simple and language independent subword tokenizer and detokenizer for neural text processing
10.48550/arxiv.1808.06226 · ExternalCitation · doi-reference
10.48550/arxiv.1905.03423
10.48550/arxiv.1905.03423 · ExternalCitation · doi-reference
10.48550/arxiv.2008.07267
10.48550/arxiv.2008.07267 · ExternalCitation · doi-reference
Active learning for reducing labeling effort in text classification tasks
10.48550/arxiv.2109.04847 · ExternalCitation · doi-reference
Zero-shot aspect-based sentiment analysis
10.48550/arxiv.2202.01924 · ExternalCitation · doi-reference
A survey on aspect-based sentiment analysis: tasks, methods, and challenges
10.48550/arxiv.2203.01054 · ExternalCitation · doi-reference
“Controlled dropout for uncertainty estimation,”
10.48550/arxiv.2205.03109 · ExternalCitation · doi-reference
Art: automatic multi-step reasoning and tool-use for large language models
10.48550/arxiv.2303.09014 · ExternalCitation · doi-reference
10.48550/arxiv.2307.00374
10.48550/arxiv.2307.00374 · ExternalCitation · doi-reference
Dspy: compiling declarative language model calls into self-improving pipelines
10.48550/arxiv.2310.03714 · ExternalCitation · doi-reference
Bge m3-embedding: multi-lingual, multi-functionality, multi-granularity text embeddings through self-knowledge distilllation
10.48550/arxiv.2402.03216 · ExternalCitation · doi-reference
Deepseekmath: Pushing the limits of mathematical reasoning in open language models
10.48550/arxiv.2402.03300 · ExternalCitation · doi-reference
Optimizing instructions and demonstrations for multi-stage language model programs
10.48550/arxiv.2406.11695 · ExternalCitation · doi-reference
Aspect-based sentiment analysis techniques: a comparative study
10.48550/arxiv.2407.02834 · ExternalCitation · doi-reference
Evaluating and explaining training strategies for zero-shot cross-lingual news sentiment analysis
10.48550/arxiv.2409.20054 · ExternalCitation · doi-reference
Studying and benchmarking large language models for log level suggestion
10.48550/arxiv.2410.08499 · ExternalCitation · doi-reference
Multi-view attention syntactic enhanced graph convolutional network for aspect-based sentiment analysis
10.48550/arxiv.2501.15968 · ExternalCitation · doi-reference
M-absa: a multilingual dataset for aspect-based sentiment analysis
10.48550/arxiv.2502.11824 · ExternalCitation · doi-reference
From system 1 to system 2: A survey of reasoning large language models
10.48550/arxiv.2502.17419 · ExternalCitation · doi-reference
Emograce: aspect-based emotion analysis for social media data
10.48550/arxiv.2503.15133 · ExternalCitation · doi-reference
Salad: Improving robustness and generalization through contrastive learning with structure-aware and llm-driven augmented data
10.48550/arxiv.2504.12185 · ExternalCitation · doi-reference
Limited generalizability in argument mining: State-of-the-art models learn datasets, not arguments
10.48550/arxiv.2505.22137 · ExternalCitation · doi-reference
A survey of reinforcement learning for large reasoning models
10.48550/arxiv.2509.08827 · ExternalCitation · doi-reference
L2d-clinical: learning to defer for adaptive model selection in clinical text classification
10.48550/arxiv.2604.13285 · ExternalCitation · doi-reference
“Chain-of-thought prompting elicits reasoning in large language models,”
10.52202/068431-1800 · ExternalCitation · doi-reference
“In-context example retrieval from multi-perspectives for few-shot aspect-based sentiment analysis,”
10.63317/4hb5dcxvoz5q · ExternalCitation · doi-reference
“Approximating learning curves for active-learning-driven annotation,”
10.63317/4smeu6r7yan5 · ExternalCitation · doi-reference
