Cover Image

Comparative sentiment analysis of public perception: Monkeypox vs. COVID-19 behavioral insights

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Faisal, Mostafa Mohaimen Akand, Jhuma, Rabeya Amin, Jasim, Jamini
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From Theory to Practice: Evaluating Data Poisoning Attacks and Defenses in In-Context Learning on Social Media Health Discourse
by: Jhuma, Rabeya Amin, et al.
Published: (2025)

VAGUEGAN: Stealthy Poisoning and Backdoor Attacks on Image Generative Pipelines
by: Faisal, Mostafa Mohaimen Akand, et al.
Published: (2025)

Linguistic Patterns in Pandemic-Related Content: A Comparative Analysis of COVID-19, Constraint, and Monkeypox Datasets
by: Sikosana, Mkululi, et al.
Published: (2025)

A meta-analysis on the performance of machine-learning based language models for sentiment analysis
by: Rohde, Elena, et al.
Published: (2025)

Creating emoji lexica from unsupervised sentiment analysis of their descriptions
by: Fernández-Gavilanes, Milagros, et al.
Published: (2024)

A hybrid transformer and attention based recurrent neural network for robust and interpretable sentiment analysis of tweets
by: Jahin, Md Abrar, et al.
Published: (2024)

Bloom-epistemic and sentiment analysis hierarchical classification in course discussion forums
by: Toba, H., et al.
Published: (2024)

Joint sentiment analysis of lyrics and audio in music
by: Schaab, Lea, et al.
Published: (2024)

Student sentiment Analysis Using Classification With Feature Extraction Techniques
by: Tamrakar, Latika, et al.
Published: (2021)

ViQA-COVID: COVID-19 Machine Reading Comprehension Dataset for Vietnamese
by: Nguyen-Phung, Hai-Chung, et al.
Published: (2025)

When Reasoning Hurts: Source-Aware Evaluation of Frontier LLMs for Clinical SOAP Note Generation
by: Faisal, Faizan
Published: (2026)

Clustering in pure-attention hardmax transformers and its role in sentiment analysis
by: Alcalde, Albert, et al.
Published: (2024)

Topological Signatures vs. Gradient Histograms: A Comparative Study for Medical Image Classification
by: Ahmed, Faisal
Published: (2025)

Watching the Watchers: A Comparative Fairness Audit of Cloud-based Content Moderation Services
by: Hartmann, David, et al.
Published: (2024)

Nested Named-Entity Recognition on Vietnamese COVID-19: Dataset and Experiments
by: Lê, Ngoc C., et al.
Published: (2025)

India nudges to contain COVID-19 pandemic: a reactive public policy analysis using machine-learning based topic modelling
by: Debnath, Ramit, et al.
Published: (2020)

Detecting Conspiracy Theory Against COVID-19 Vaccines
by: Amin, Md Hasibul, et al.
Published: (2022)

A Comparative analysis of Layer-wise Representational Capacity in AR and Diffusion LLMs
by: Goel, Raghavv, et al.
Published: (2026)

Guiding Giants: Lightweight Controllers for Weighted Activation Steering in LLMs
by: Hegazy, Amr, et al.
Published: (2025)

MIPIAD: Multilingual Indirect Prompt Injection Attack Defense with Qwen -- TF-IDF Hybrid and Meta-Ensemble Learning
by: Muhtadi, Al Muhit, et al.
Published: (2026)

MF-QAT: Multi-Format Quantization-Aware Training for Elastic Inference
by: Xu, Zifei, et al.
Published: (2026)

On Provable Length and Compositional Generalization
by: Ahuja, Kartik, et al.
Published: (2024)

Dense vs Sparse Pretraining at Tiny Scale: Active-Parameter vs Total-Parameter Matching
by: Wael, Abdalrahman
Published: (2026)

Anti-establishment sentiment on TikTok: Implications for understanding influence(rs) and expertise on social media
by: Xu, Tianliang, et al.
Published: (2025)

SSP-based construction of evaluation-annotated data for fine-grained aspect-based sentiment analysis
by: Choi, Suwon, et al.
Published: (2026)

Towards Skeletal and Signer Noise Reduction in Sign Language Production via Quaternion-Based Pose Encoding and Contrastive Learning
by: Fauré, Guilhem, et al.
Published: (2025)

Lying Is Just a Phase: The Hidden Alignment Transition in Language Model Scaling
by: Amin, Adil
Published: (2026)

The Growing Pains of Frontier Models: When Leaderboards Stop Separating and What to Measure Next
by: Amin, Adil
Published: (2026)

A Dynamic Self-Evolving Extraction System
by: Amin-Naseri, Moin, et al.
Published: (2026)

Optimal Stopping vs Best-of-$N$ for Inference Time Optimization
by: Kalayci, Yusuf, et al.
Published: (2025)

LoRA vs Full Fine-tuning: An Illusion of Equivalence
by: Shuttleworth, Reece, et al.
Published: (2024)

Escaping the Mode Lottery: Multi-Response Training Improves Language Model Generalization
by: Amin, Hasan, et al.
Published: (2026)

Enhancing Bangla Language Next Word Prediction and Sentence Completion through Extended RNN with Bi-LSTM Model On N-gram Language
by: Islam, Md Robiul, et al.
Published: (2024)

Exposing Pink Slime Journalism: Linguistic Signatures and Robust Detection Against LLM-Generated Threats
by: Shahriar, Sadat, et al.
Published: (2025)

RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
by: Balaguer, Angels, et al.
Published: (2024)

Fine-Tuning vs. RAG for Multi-Hop Question Answering with Novel Knowledge
by: Yang, Zhuoyi, et al.
Published: (2026)

Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning
by: Paul, Bidyarthi, et al.
Published: (2025)

Traditional Readability Formulas Compared for English
by: Lee, Bruce W., et al.
Published: (2023)

Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting
by: Anand, Suraj, et al.
Published: (2024)

Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning
by: Wang, Xiaolei, et al.
Published: (2024)