Copertina

Enhancing BERT Fine-Tuning for Sentiment Analysis in Lower-Resourced Languages

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kubík, Jozef, Šuppa, Marek, Takáč, Martin
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Sentiment Classification of Gaza War Headlines: A Comparative Analysis of Large Language Models and Arabic Fine-Tuned BERT Models
di: Eleraqi, Amr, et al.
Pubblicazione: (2026)

Energy and Carbon Considerations of Fine-Tuning BERT
di: Wang, Xiaorong, et al.
Pubblicazione: (2023)

Enhancing TinyBERT for Financial Sentiment Analysis Using GPT-Augmented FinBERT Distillation
di: Thomas, Graison Jos
Pubblicazione: (2024)

Breaking BERT: Gradient Attack on Twitter Sentiment Analysis for Targeted Misclassification
di: Subedi, Akil Raj, et al.
Pubblicazione: (2025)

Research on the Application of Deep Learning-based BERT Model in Sentiment Analysis
di: Wu, Yichao, et al.
Pubblicazione: (2024)

BERTCaps: BERT Capsule for Persian Multi-Domain Sentiment Analysis
di: Memari, Mohammadali, et al.
Pubblicazione: (2024)

Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study
di: Hu, Jiacheng, et al.
Pubblicazione: (2024)

Knowledge Distillation from Large Language Models for Household Energy Modeling
di: Takrouri, Mohannad, et al.
Pubblicazione: (2025)

Comparative Analysis of Different Efficient Fine Tuning Methods of Large Language Models (LLMs) in Low-Resource Setting
di: Srinivasan, Krishna Prasad Varadarajan, et al.
Pubblicazione: (2024)

BERT-ASC: Auxiliary-Sentence Construction for Implicit Aspect Learning in Sentiment Analysis
di: Ahmed, Murtadha, et al.
Pubblicazione: (2022)

On Importance of Layer Pruning for Smaller BERT Models and Low Resource Languages
di: Shirke, Mayur, et al.
Pubblicazione: (2025)

Personalized Collaborative Fine-Tuning for On-Device Large Language Models
di: Wagner, Nicolas, et al.
Pubblicazione: (2024)

LakotaBERT: A Transformer-based Model for Low Resource Lakota Language
di: Parankusham, Kanishka, et al.
Pubblicazione: (2025)

Synthetic Data Generation in Low-Resource Settings via Fine-Tuning of Large Language Models
di: Kaddour, Jean, et al.
Pubblicazione: (2023)

SloPal: A 60-Million-Word Slovak Parliamentary Corpus with Aligned Speech and Fine-Tuned ASR Models
di: Božík, Erik, et al.
Pubblicazione: (2025)

Financial Sentiment Analysis: Leveraging Actual and Synthetic Data for Supervised Fine-tuning
di: Atsiwo, Abraham
Pubblicazione: (2024)

LoRA-SP: Streamlined Partial Parameter Adaptation for Resource-Efficient Fine-Tuning of Large Language Models
di: Wu, Yichao, et al.
Pubblicazione: (2024)

Prompt Tuning for Natural Language to SQL with Embedding Fine-Tuning and RAG
di: Jang, Jisoo, et al.
Pubblicazione: (2025)

Fine Tuning Methods for Low-resource Languages
di: Bakkenes, Tim, et al.
Pubblicazione: (2025)

Bridging the Gap: Enhancing LLM Performance for Low-Resource African Languages with New Benchmarks, Fine-Tuning, and Cultural Adjustments
di: Alhanai, Tuka, et al.
Pubblicazione: (2024)

MaxPoolBERT: Enhancing BERT Classification via Layer- and Token-Wise Aggregation
di: Behrendt, Maike, et al.
Pubblicazione: (2025)

Empirical Analysis of Efficient Fine-Tuning Methods for Large Pre-Trained Language Models
di: Doering, Nigel, et al.
Pubblicazione: (2024)

DE$^3$-BERT: Distance-Enhanced Early Exiting for BERT based on Prototypical Networks
di: He, Jianing, et al.
Pubblicazione: (2024)

Sentiment Analysis of German Sign Language Fairy Tales
di: Nunnari, Fabrizio, et al.
Pubblicazione: (2026)

GottBERT: a pure German Language Model
di: Scheible, Raphael, et al.
Pubblicazione: (2020)

Improving Sampling Methods for Fine-tuning SentenceBERT in Text Streams
di: Garcia, Cristiano Mesquita, et al.
Pubblicazione: (2024)

Fine-Tuning Language Models with Just Forward Passes
di: Malladi, Sadhika, et al.
Pubblicazione: (2023)

Dissecting Fine-Tuning Unlearning in Large Language Models
di: Hong, Yihuai, et al.
Pubblicazione: (2024)

Enhancing Event Reasoning in Large Language Models through Instruction Fine-Tuning with Semantic Causal Graphs
di: Bethany, Mazal, et al.
Pubblicazione: (2024)

Multi-refined Feature Enhanced Sentiment Analysis Using Contextual Instruction
di: Atandoh, Peter, et al.
Pubblicazione: (2025)

Domain-Adaptive Pre-Training for Arabic Aspect-Based Sentiment Analysis: A Comparative Study of Domain Adaptation and Fine-Tuning Strategies
di: Alyami, Salha, et al.
Pubblicazione: (2025)

PL-FGSA: A Prompt Learning Framework for Fine-Grained Sentiment Analysis Based on MindSpore
di: Qin, Zhenkai, et al.
Pubblicazione: (2025)

How Multilingual Are Large Language Models Fine-Tuned for Translation?
di: Richburg, Aquia, et al.
Pubblicazione: (2024)

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks
di: Hu, Jiacheng, et al.
Pubblicazione: (2024)

Harnessing Large Language Models: Fine-tuned BERT for Detecting Charismatic Leadership Tactics in Natural Language
di: Saeid, Yasser, et al.
Pubblicazione: (2024)

ANUBHUTI: A Comprehensive Corpus For Sentiment Analysis In Bangla Regional Languages
di: Kundu, Swastika, et al.
Pubblicazione: (2025)

Joint Localization and Activation Editing for Low-Resource Fine-Tuning
di: Lai, Wen, et al.
Pubblicazione: (2025)

Enhancing Trust in Large Language Models via Uncertainty-Calibrated Fine-Tuning
di: Krishnan, Ranganath, et al.
Pubblicazione: (2024)

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

Enhancing Granular Sentiment Classification with Chain-of-Thought Prompting in Large Language Models
di: Miriyala, Vihaan, et al.
Pubblicazione: (2025)