Copertina

Large Language Models in Targeted Sentiment Analysis

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Rusnachenko, Nicolay, Golubev, Anton, Loukachevitch, Natalia
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

RuOpinionNE-2024: Extraction of Opinion Tuples from Russian News Texts
di: Loukachevitch, Natalia, et al.
Pubblicazione: (2025)

NCL-BU at SemEval-2026 Task 3: Fine-tuning XLM-RoBERTa for Multilingual Dimensional Sentiment Regression
di: Wu, Tong, et al.
Pubblicazione: (2026)

nicolay-r at SemEval-2024 Task 3: Using Flan-T5 for Reasoning Emotion Cause in Conversations with Chain-of-Thought on Emotion States
di: Rusnachenko, Nicolay, et al.
Pubblicazione: (2024)

Exploring Prompt-Based Methods for Zero-Shot Hypernym Prediction with Large Language Models
di: Tikhomirov, Mikhail, et al.
Pubblicazione: (2024)

Learning Nested Named Entity Recognition from Flat Annotations
di: Rozhkov, Igor, et al.
Pubblicazione: (2026)

Methods for Recognizing Nested Terms
di: Rozhkov, Igor, et al.
Pubblicazione: (2025)

Targeted Distillation for Sentiment Analysis
di: Zhang, Yice, et al.
Pubblicazione: (2025)

Building Russian Benchmark for Evaluation of Information Retrieval Models
di: Kovalev, Grigory, et al.
Pubblicazione: (2025)

Large Language Models for Czech Aspect-Based Sentiment Analysis
di: Šmíd, Jakub, et al.
Pubblicazione: (2025)

Causal Prompting for Implicit Sentiment Analysis with Large Language Models
di: Ren, Jing, et al.
Pubblicazione: (2025)

Large Language Model Adaptation for Financial Sentiment Analysis
di: Inserte, Pau Rodriguez, et al.
Pubblicazione: (2024)

Pre-trained Large Language Models for Financial Sentiment Analysis
di: Luo, Wei, et al.
Pubblicazione: (2024)

Bayesian Network Fusion of Large Language Models for Sentiment Analysis
di: Amirzadeh, Rasoul, et al.
Pubblicazione: (2025)

Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis
di: Ding, Xuanwen, et al.
Pubblicazione: (2024)

Leveraging Large Language Models for Code-Mixed Data Augmentation in Sentiment Analysis
di: Zeng, Linda
Pubblicazione: (2024)

Iterative Data Generation with Large Language Models for Aspect-based Sentiment Analysis
di: Zhong, Qihuang, et al.
Pubblicazione: (2024)

A Retail-Corpus for Aspect-Based Sentiment Analysis with Large Language Models
di: Silcenco, Oleg, et al.
Pubblicazione: (2025)

Are Large Language Models Good In-context Learners for Financial Sentiment Analysis?
di: Wei, Xinyu, et al.
Pubblicazione: (2025)

Wikipedia-based Datasets in Russian Information Retrieval Benchmark RusBEIR
di: Kovalev, Grigory, et al.
Pubblicazione: (2025)

Reasoning or Overthinking: Evaluating Large Language Models on Financial Sentiment Analysis
di: Vamvourellis, Dimitris, et al.
Pubblicazione: (2025)

Evaluating Zero-Shot Multilingual Aspect-Based Sentiment Analysis with Large Language Models
di: Wu, Chengyan, et al.
Pubblicazione: (2024)

Large Language Models Meet Text-Centric Multimodal Sentiment Analysis: A Survey
di: Yang, Hao, et al.
Pubblicazione: (2024)

Explainable Multimodal Aspect-Based Sentiment Analysis with Dependency-guided Large Language Model
di: Wang, Zhongzheng, et al.
Pubblicazione: (2026)

On the Impact of Language Nuances on Sentiment Analysis with Large Language Models: Paraphrasing, Sarcasm, and Emojis
di: Bhargava, Naman, et al.
Pubblicazione: (2025)

OATS: Opinion Aspect Target Sentiment Quadruple Extraction Dataset for Aspect-Based Sentiment Analysis
di: Chebolu, Siva Uday Sampreeth, et al.
Pubblicazione: (2023)

The Model Arena for Cross-lingual Sentiment Analysis: A Comparative Study in the Era of Large Language Models
di: Zhu, Xiliang, et al.
Pubblicazione: (2024)

Enhancing Aspect-based Sentiment Analysis in Tourism Using Large Language Models and Positional Information
di: Xu, Chun, et al.
Pubblicazione: (2024)

Large Language Models Enhanced by Plug and Play Syntactic Knowledge for Aspect-based Sentiment Analysis
di: Tian, Yuanhe, et al.
Pubblicazione: (2025)

A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis
di: Zhou, Changzhi, et al.
Pubblicazione: (2024)

Large Language Models for Oral History Understanding with Text Classification and Sentiment Analysis
di: Cherukuri, Komala Subramanyam, et al.
Pubblicazione: (2025)

Semantic Consistency Regularization with Large Language Models for Semi-supervised Sentiment Analysis
di: Li, Kunrong, et al.
Pubblicazione: (2025)

The Promise of Large Language Models in Digital Health: Evidence from Sentiment Analysis in Online Health Communities
di: Li, Xiancheng, et al.
Pubblicazione: (2025)

Dynamic Adaptive Rank Space Exploration for Efficient Sentiment Analysis with Large Language Models
di: Ding, Hongcheng, et al.
Pubblicazione: (2024)

Exploring Large Language Models for Multimodal Sentiment Analysis: Challenges, Benchmarks, and Future Directions
di: Song, Shezheng
Pubblicazione: (2024)

Dynamic Adaptive Optimization for Effective Sentiment Analysis Fine-Tuning on Large Language Models
di: Ding, Hongcheng, et al.
Pubblicazione: (2024)

Integration of Explainable AI Techniques with Large Language Models for Enhanced Interpretability for Sentiment Analysis
di: Thogesan, Thivya, et al.
Pubblicazione: (2025)

Do Large Language Models Possess Sensitive to Sentiment?
di: Liu, Yang, et al.
Pubblicazione: (2024)

Distilling Fine-grained Sentiment Understanding from Large Language Models
di: Zhang, Yice, et al.
Pubblicazione: (2024)

Motamot: A Dataset for Revealing the Supremacy of Large Language Models over Transformer Models in Bengali Political Sentiment Analysis
di: Faria, Fatema Tuj Johora, et al.
Pubblicazione: (2024)

Prompting Is All You Need: Multi-view Prompting Large Language Models for Aspect-Based Sentiment Analysis
di: Hellwig, Nils Constantin, et al.
Pubblicazione: (2026)