Are Social Sentiments Inherent in LLMs? An Empirical Study on Extraction of Inter-demographic Sentiments

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Tanaka, Kunitomo, Sasano, Ryohei, Takeda, Koichi
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Computers and Society
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

CiMaTe: Citation Count Prediction Effectively Leveraging the Main Text
di: Hirako, Jun, et al.
Pubblicazione: (2024)

Verifying Claims About Metaphors with Large-Scale Automatic Metaphor Identification
di: Aono, Kotaro, et al.
Pubblicazione: (2024)

Simplifying Translations for Children: Iterative Simplification Considering Age of Acquisition with LLMs
di: Oshika, Masashi, et al.
Pubblicazione: (2024)

Sentence Representations via Gaussian Embedding
di: Yoda, Shohei, et al.
Pubblicazione: (2023)

Towards New Benchmark for AI Alignment & Sentiment Analysis in Socially Important Issues: A Comparative Study of Human and LLMs in the Context of AGI
di: Bojic, Ljubisa, et al.
Pubblicazione: (2025)

Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot Examples
di: Sato, Soma, et al.
Pubblicazione: (2024)

FrameEOL: Semantic Frame Induction using Causal Language Models
di: Yano, Chihiro, et al.
Pubblicazione: (2025)

Sentiment Analysis of Cyberbullying Data in Social Media
di: Susmitha, Arvapalli Sai, et al.
Pubblicazione: (2024)

Polarized Patterns of Language Toxicity and Sentiment of Debunking Posts on Social Media
di: Xu, Wentao, et al.
Pubblicazione: (2025)

WikiSplit++: Easy Data Refinement for Split and Rephrase
di: Tsukagoshi, Hayato, et al.
Pubblicazione: (2024)

Industry Risk Assessment via Hierarchical Financial Data Using Stock Market Sentiment Indicators
di: Zhu, Hongyin
Pubblicazione: (2023)

Comprehensive Study on Sentiment Analysis: From Rule-based to modern LLM based system
di: Gupta, Shailja, et al.
Pubblicazione: (2024)

Whose Emotions and Moral Sentiments Do Language Models Reflect?
di: He, Zihao, et al.
Pubblicazione: (2024)

When a Nation Speaks: Machine Learning and NLP in People's Sentiment Analysis During Bangladesh's 2024 Mass Uprising
di: Alim, Md. Samiul, et al.
Pubblicazione: (2025)

Ruri: Japanese General Text Embeddings
di: Tsukagoshi, Hayato, et al.
Pubblicazione: (2024)

How Do Language Models Acquire Character-Level Information?
di: Sato, Soma, et al.
Pubblicazione: (2026)

Redundancy, Isotropy, and Intrinsic Dimensionality of Prompt-based Text Embeddings
di: Tsukagoshi, Hayato, et al.
Pubblicazione: (2025)

Understanding Student Sentiment on Mental Health Support in Colleges Using Large Language Models
di: Sood, Palak, et al.
Pubblicazione: (2024)

Self-training Strategies for Sentiment Analysis: An Empirical Study
di: Liu, Haochen, et al.
Pubblicazione: (2023)

ESG Sentiment Analysis: comparing human and language model performance including GPT
di: Derrick, Karim
Pubblicazione: (2024)

Large Language Models' Accuracy in Emulating Human Experts' Evaluation of Public Sentiments about Heated Tobacco Products on Social Media
di: Kim, Kwanho, et al.
Pubblicazione: (2025)

Explore the Potential of LLMs in Misinformation Detection: An Empirical Study
di: Chen, Mengyang, et al.
Pubblicazione: (2023)

Exploring the Ethical Concerns in User Reviews of Mental Health Apps using Topic Modeling and Sentiment Analysis
di: Rahman, Mohammad Masudur, et al.
Pubblicazione: (2026)

Interpreting Public Sentiment in Diplomacy Events: A Counterfactual Analysis Framework Using Large Language Models
di: Ouyang, Leyi
Pubblicazione: (2025)

Unsupervised Concept Vector Extraction for Bias Control in LLMs
di: Cyberey, Hannah, et al.
Pubblicazione: (2025)

Do LLMs and Humans Find the Same Questions Difficult? A Case Study on Japanese Quiz Answering
di: Sugiura, Naoya, et al.
Pubblicazione: (2025)

Can We Still Hear the Accent? Investigating the Resilience of Native Language Signals in the LLM Era
di: Utami, Nabelanita, et al.
Pubblicazione: (2026)

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

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy
di: Wang, Huandong, et al.
Pubblicazione: (2025)

Evaluating Large Language Models Against Human Annotators in Latent Content Analysis: Sentiment, Political Leaning, Emotional Intensity, and Sarcasm
di: Bojic, Ljubisa, et al.
Pubblicazione: (2025)

The "Colonial Impulse" of Natural Language Processing: An Audit of Bengali Sentiment Analysis Tools and Their Identity-based Biases
di: Das, Dipto, et al.
Pubblicazione: (2024)

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis
di: Huang, Donghao, et al.
Pubblicazione: (2026)

Sentiment Analysis of Airbnb Reviews: Exploring Their Impact on Acceptance Rates and Pricing Across Multiple U.S. Regions
di: Safari, Ali
Pubblicazione: (2025)

On Representational Dissociation of Language and Arithmetic in Large Language Models
di: Kisako, Riku, et al.
Pubblicazione: (2025)

When Is 0.1% Enough? Analyzing the Combined Effects of Dimensionality Reduction and Quantization on Text Embedding Compression
di: Kisako, Riku, et al.
Pubblicazione: (2026)

Sentiment analysis and random forest to classify LLM versus human source applied to Scientific Texts
di: Sanchez-Medina, Javier J.
Pubblicazione: (2024)

Applying NLP to iMessages: Understanding Topic Avoidance, Responsiveness, and Sentiment
di: Gerber, Alan, et al.
Pubblicazione: (2025)

Leveraging Large Language Models for Sentiment Analysis: Multi-Modal Analysis of Decentraland's MANA Token
di: Wu, Xintong, et al.
Pubblicazione: (2026)

Assessing Judging Bias in Large Reasoning Models: An Empirical Study
di: Wang, Qian, et al.
Pubblicazione: (2025)

Dutch Metaphor Extraction from Cancer Patients' Interviews and Forum Data using LLMs and Human in the Loop
di: Han, Lifeng, et al.
Pubblicazione: (2025)