Copertina

Mpox Narrative on Instagram: A Labeled Multilingual Dataset of Instagram Posts on Mpox for Sentiment, Hate Speech, and Anxiety Analysis

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Thakur, Nirmalya
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence Computation and Language Computers and Society Social and Information Networks I.2.7; I.2.8; I.5.4; K.4.2; H.2.8; I.2.6
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Five Years of COVID-19 Discourse on Instagram: A Labeled Instagram Dataset of Over Half a Million Posts for Multilingual Sentiment Analysis
di: Thakur, Nirmalya
Pubblicazione: (2024)

COVID-19 on YouTube: A Data-Driven Analysis of Sentiment, Toxicity, and Content Recommendations
di: Su, Vanessa, et al.
Pubblicazione: (2024)

Dynamics of COVID-19 Misinformation: An Analysis of Conspiracy Theories, Fake Remedies, and False Reports
di: Thakur, Nirmalya, et al.
Pubblicazione: (2025)

A Labelled Dataset for Sentiment Analysis of Videos on YouTube, TikTok, and Other Sources about the 2024 Outbreak of Measles
di: Thakur, Nirmalya, et al.
Pubblicazione: (2024)

Systematic Classification of Studies Investigating Social Media Conversations about Long COVID Using a Novel Zero-Shot Transformer Framework
di: Thakur, Nirmalya, et al.
Pubblicazione: (2025)

Emoji Retrieval from Gibberish or Garbled Social Media Text: A Novel Methodology and A Case Study
di: Cui, Shuqi, et al.
Pubblicazione: (2024)

Quantifying Public Response to COVID-19 Events: Introducing the Community Sentiment and Engagement Index
di: Thakur, Nirmalya, et al.
Pubblicazione: (2024)

Content and Engagement Trends in COVID-19 YouTube Videos: Evidence from the Late Pandemic
di: Thakur, Nirmalya, et al.
Pubblicazione: (2025)

Learning Natural Language Constraints for Safe Reinforcement Learning of Language Agents
di: Chua, Jaymari, et al.
Pubblicazione: (2025)

Evo-DKD: Dual-Knowledge Decoding for Autonomous Ontology Evolution in Large Language Models
di: Raman, Vishal, et al.
Pubblicazione: (2025)

Learning, Fast and Slow: Towards LLMs That Adapt Continually
di: Tiwari, Rishabh, et al.
Pubblicazione: (2026)

Enhancing Document AI Data Generation Through Graph-Based Synthetic Layouts
di: Agarwal, Amit, et al.
Pubblicazione: (2024)

Autonomous generation of different courses of action in mechanized combat operations
di: Schubert, Johan, et al.
Pubblicazione: (2025)

Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation
di: Koc, Vincent
Pubblicazione: (2025)

GraphWalk: Enabling Reasoning in Large Language Models through Tool-Based Graph Navigation
di: Ghandi, Taraneh, et al.
Pubblicazione: (2026)

Transforming Computer Security and Public Trust Through the Exploration of Fine-Tuning Large Language Models
di: Crumrine, Garrett, et al.
Pubblicazione: (2024)

Active Inference for an Intelligent Agent in Autonomous Reconnaissance Missions
di: Schubert, Johan, et al.
Pubblicazione: (2025)

MOCHA: Multi-Objective Chebyshev Annealing for Agent Skill Optimization
di: Tanjim, Md Mehrab, et al.
Pubblicazione: (2026)

AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
di: Yousaf, Iqra
Pubblicazione: (2024)

GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
di: Agrawal, Lakshya A, et al.
Pubblicazione: (2025)

Evaluation of Hate Speech Detection Using Large Language Models and Geographical Contextualization
di: Zahid, Anwar Hossain, et al.
Pubblicazione: (2025)

Predictive Analytics for Collaborators Answers, Code Quality, and Dropout on Stack Overflow
di: Zolduoarrati, Elijah, et al.
Pubblicazione: (2025)

Controlled Territory and Conflict Tracking (CONTACT): (Geo-)Mapping Occupied Territory from Open Source Intelligence
di: Mandal, Paul K., et al.
Pubblicazione: (2025)

An Explainable Collaborative Dialogue System using a Theory of Mind
di: Cohen, Philip R., et al.
Pubblicazione: (2023)

ConfProBench: A Confidence Evaluation Benchmark for MLLM-Based Process Judges
di: Zhou, Yue, et al.
Pubblicazione: (2025)

SP-Guard: Selective Prompt-adaptive Guidance for Safe Text-to-Image Generation
di: Yu, Sumin, et al.
Pubblicazione: (2025)

The Final-Stage Bottleneck: A Systematic Dissection of the R-Learner for Network Causal Inference
di: Sairam, S, et al.
Pubblicazione: (2025)

From Next Token Prediction to (STRIPS) World Models
di: Núñez-Molina, Carlos, et al.
Pubblicazione: (2025)

ReaGeo: Reasoning-Enhanced End-to-End Geocoding with LLMs
di: Cui, Jian, et al.
Pubblicazione: (2026)

SCULPT: Constraint-Guided Pruned MCTS that Carves Efficient Paths for Mathematical Reasoning
di: Fang, Qitong, et al.
Pubblicazione: (2026)

On the Limits of Learned Importance Scoring for KV Cache Compression
di: Steele, Brady
Pubblicazione: (2026)

Scaling Trends for Multi-Hop Contextual Reasoning in Mid-Scale Language Models
di: Steele, Brady, et al.
Pubblicazione: (2026)

The Reasoning-Creativity Trade-off: Toward Creativity-Driven Problem Solving
di: Luyten, Max Ruiz, et al.
Pubblicazione: (2026)

CSR: Infinite-Horizon Real-Time Policies with Massive Cached State Representations
di: Karlsson, Robin, et al.
Pubblicazione: (2026)

Resolving Action Bottleneck: Agentic Reinforcement Learning Informed by Token-Level Energy
di: He, Langzhou, et al.
Pubblicazione: (2026)

Dynamic Policy Induction for Adaptive Prompt Optimization: Bridging the Efficiency-Accuracy Gap via Lightweight Reinforcement Learning
di: Xu, Jiexi
Pubblicazione: (2025)

Aligning LLMs on a Budget: Inference-Time Alignment with Heuristic Reward Models
di: Nakamura, Mason, et al.
Pubblicazione: (2025)

XAutoLM: Efficient Fine-Tuning of Language Models via Meta-Learning and AutoML
di: Estevanell-Valladares, Ernesto L., et al.
Pubblicazione: (2025)

Automated Theorem Provers Help Improve Large Language Model Reasoning
di: McGinness, Lachlan, et al.
Pubblicazione: (2024)

When Gradients Collide: Failure Modes of Multi-Objective Prompt Optimization for LLM Judges
di: Darshan, Parth, et al.
Pubblicazione: (2026)