Imagen de Portada

OneLove beyond the field -- A few-shot pipeline for topic and sentiment analysis during the FIFA World Cup in Qatar

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Rauchegger, Christoph, Wang, Sonja Mei, Delobelle, Pieter
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

The FIFA World Cup Qatar 2022
Publicado: (2025)

Exploring the topics, sentiments and hate speech in the Spanish information environment
por: LOPEZ, ALEJANDRO BUITRAGO, et al.
Publicado: (2024)

Topics evolution through multilayer networks; Analysing 2M tweets from 2022 Qatar FIFA World Cup
por: Russo, Andrea, et al.
Publicado: (2024)

Evaluating and explaining training strategies for zero-shot cross-lingual news sentiment analysis
por: Andrenšek, Luka, et al.
Publicado: (2024)

ChocoLlama: Lessons Learned From Teaching Llamas Dutch
por: Meeus, Matthieu, et al.
Publicado: (2024)

Audit Me If You Can: Query-Efficient Active Fairness Auditing of Black-Box LLMs
por: Hartmann, David, et al.
Publicado: (2026)

WorldCup Sampling for Multi-bit LLM Watermarking
por: Wang, Yidan, et al.
Publicado: (2026)

Trans-Tokenization and Cross-lingual Vocabulary Transfers: Language Adaptation of LLMs for Low-Resource NLP
por: Remy, François, et al.
Publicado: (2024)

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court
por: Marulli, Matteo, et al.
Publicado: (2025)

Practical token pruning for foundation models in few-shot conversational virtual assistant systems
por: Qi, Haode, et al.
Publicado: (2024)

Towards few-shot isolated word reading assessment
por: Smit, Reuben, et al.
Publicado: (2025)

Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models
por: Suau, Xavier, et al.
Publicado: (2024)

Evaluation of data inconsistency for multi-modal sentiment analysis
por: Wang, Yufei, et al.
Publicado: (2024)

Will sentiment analysis need subculture? A new data augmentation approach
por: Wang, Zhenhua, et al.
Publicado: (2023)

The fairness of the group draw for the FIFA World Cup
por: Csató, László
Publicado: (2021)

One-shot Entropy Minimization
por: Gao, Zitian, et al.
Publicado: (2025)

Investigating grammatical abstraction in language models using few-shot learning of novel noun gender
por: Sukumaran, Priyanka, et al.
Publicado: (2024)

A longitudinal sentiment analysis of Sinophobia during COVID-19 using large language models
por: Wang, Chen, et al.
Publicado: (2024)

CIDER: Context sensitive sentiment analysis for short-form text
por: Young, James C., et al.
Publicado: (2023)

Visually grounded few-shot word learning in low-resource settings
por: Nortje, Leanne, et al.
Publicado: (2023)

Scaling few-shot spoken word classification with generative meta-continual learning
por: Beyers, Louise, et al.
Publicado: (2026)

Scalable and consistent few-shot classification of survey responses using text embeddings
por: Mjaaland, Jonas Timmann, et al.
Publicado: (2025)

The representation landscape of few-shot learning and fine-tuning in large language models
por: Doimo, Diego, et al.
Publicado: (2024)

Demonstration-based learning for few-shot biomedical named entity recognition under machine reading comprehension
por: Su, Leilei, et al.
Publicado: (2023)

PETapter: Leveraging PET-style classification heads for modular few-shot parameter-efficient fine-tuning
por: Rieger, Jonas, et al.
Publicado: (2024)

Exa-PSD: a new Persian sentiment analysis dataset on Twitter
por: Ghaderi, Seyed Himan, et al.
Publicado: (2026)

Lex2Sent: A bagging approach to unsupervised sentiment analysis
por: Lange, Kai-Robin, et al.
Publicado: (2022)

The emojification of sentiment on social media: Collection and analysis of a longitudinal Twitter sentiment dataset
por: Yin, Wenjie, et al.
Publicado: (2021)

Zero-shot prompt-based classification: topic labeling in times of foundation models in German Tweets
por: Münker, Simon, et al.
Publicado: (2024)

Anti‐Doping Testing at FIFA World Cup 2022
por: Alanod D. AlQahtani, et al.
Publicado: (2025)

On the non-uniformity of the 2026 FIFA World Cup draw
por: Csató, László, et al.
Publicado: (2026)

FIFA World Cup and climate change: correlation is not causation
por: Aurelio Tobías
Publicado: (2019)

Evaluation of Google Translate for Mandarin Chinese translation using sentiment and semantic analysis
por: Wang, Xuechun, et al.
Publicado: (2024)

Large language models for newspaper sentiment analysis during COVID-19: The Guardian
por: Chandra, Rohitash, et al.
Publicado: (2024)

Large language model for Bible sentiment analysis: Sermon on the Mount
por: Vora, Mahek, et al.
Publicado: (2024)

Word frequency and sentiment analysis of twitter messages during Coronavirus pandemic
por: Rajput, Nikhil Kumar, et al.
Publicado: (2020)

A comprehensive cross-language framework for harmful content detection with the aid of sentiment analysis
por: Dehghani, Mohammad
Publicado: (2024)

Evaluating the fairness of task-adaptive pretraining on unlabeled test data before few-shot text classification
por: Dubey, Kush
Publicado: (2024)

Continuous sentiment scores for literary and multilingual contexts
por: Lyngbaek, Laurits, et al.
Publicado: (2025)

Fine-tuning of lightweight large language models for sentiment classification on heterogeneous financial textual data
por: Amorin, Alvaro Paredes, et al.
Publicado: (2025)