From Twitter to Reasoner: Understand Mobility Travel Modes and Sentiment Using Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Ruan, Kangrui, Wang, Xinyang, Di, Xuan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mobility-LLM: Learning Visiting Intentions and Travel Preferences from Human Mobility Data with Large Language Models
by: Gong, Letian, et al.
Published: (2024)
by: Gong, Letian, et al.
Published: (2024)
Data-Driven Discovery of Mobility Periodicity for Understanding Urban Systems
by: Chen, Xinyu, et al.
Published: (2025)
by: Chen, Xinyu, et al.
Published: (2025)
Israel-Hamas war through Telegram, Reddit and Twitter
by: Antonakaki, Despoina, et al.
Published: (2025)
by: Antonakaki, Despoina, et al.
Published: (2025)
Large Language Models for Social Networks: Applications, Challenges, and Solutions
by: Zeng, Jingying, et al.
Published: (2024)
by: Zeng, Jingying, et al.
Published: (2024)
EpiLLM: Unlocking the Potential of Large Language Models in Epidemic Forecasting
by: Gong, Chenghua, et al.
Published: (2025)
by: Gong, Chenghua, et al.
Published: (2025)
Graph Network Modeling Techniques for Visualizing Human Mobility Patterns
by: Mitra, Sinjini, et al.
Published: (2025)
by: Mitra, Sinjini, et al.
Published: (2025)
BotArtist: Generic approach for bot detection in Twitter via semi-automatic machine learning pipeline
by: Shevtsov, Alexander, et al.
Published: (2023)
by: Shevtsov, Alexander, et al.
Published: (2023)
CoBAD: Modeling Collective Behaviors for Human Mobility Anomaly Detection
by: Wen, Haomin, et al.
Published: (2025)
by: Wen, Haomin, et al.
Published: (2025)
LangGFM: A Large Language Model Alone Can be a Powerful Graph Foundation Model
by: Lin, Tianqianjin, et al.
Published: (2024)
by: Lin, Tianqianjin, et al.
Published: (2024)
Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph
by: Liang, Xujian, et al.
Published: (2025)
by: Liang, Xujian, et al.
Published: (2025)
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
by: Zhou, Zhanke, et al.
Published: (2024)
by: Zhou, Zhanke, et al.
Published: (2024)
AutoVerifier: An Agentic Automated Verification Framework Using Large Language Models
by: Du, Yuntao, et al.
Published: (2026)
by: Du, Yuntao, et al.
Published: (2026)
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities
by: Jiao, Pengfei, et al.
Published: (2025)
by: Jiao, Pengfei, et al.
Published: (2025)
Knowledge Homophily in Large Language Models
by: Sahu, Utkarsh, et al.
Published: (2025)
by: Sahu, Utkarsh, et al.
Published: (2025)
Graph-based Diffusion Model for Collaborative Filtering
by: Zhang, Xuan, et al.
Published: (2025)
by: Zhang, Xuan, et al.
Published: (2025)
Leveraging Large Language Models for Enhancing Public Transit Services
by: Wang, Jiahao, et al.
Published: (2024)
by: Wang, Jiahao, et al.
Published: (2024)
LPNL: Scalable Link Prediction with Large Language Models
by: Bi, Baolong, et al.
Published: (2024)
by: Bi, Baolong, et al.
Published: (2024)
CausalChat: Interactive Causal Model Development and Refinement Using Large Language Models
by: Zhang, Yanming, et al.
Published: (2024)
by: Zhang, Yanming, et al.
Published: (2024)
Graph Machine Learning in the Era of Large Language Models (LLMs)
by: Wang, Shijie, et al.
Published: (2024)
by: Wang, Shijie, et al.
Published: (2024)
CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events
by: Yang, Xiaojie, et al.
Published: (2024)
by: Yang, Xiaojie, et al.
Published: (2024)
Modeling Teams Performance Using Deep Representational Learning on Graphs
by: Carli, Francesco, et al.
Published: (2022)
by: Carli, Francesco, et al.
Published: (2022)
Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?
by: Zhang, Zhongjian, et al.
Published: (2024)
by: Zhang, Zhongjian, et al.
Published: (2024)
Exploring the Potential of Large Language Models for Heterophilic Graphs
by: Wu, Yuxia, et al.
Published: (2024)
by: Wu, Yuxia, et al.
Published: (2024)
Leveraging Twitter Data for Sentiment Analysis of Transit User Feedback: An NLP Framework
by: Das, Adway, et al.
Published: (2023)
by: Das, Adway, et al.
Published: (2023)
What Do LLMs Need to Understand Graphs: A Survey of Parametric Representation of Graphs
by: Fu, Dongqi, et al.
Published: (2024)
by: Fu, Dongqi, et al.
Published: (2024)
Rethinking Node-wise Propagation for Large-scale Graph Learning
by: Li, Xunkai, et al.
Published: (2024)
by: Li, Xunkai, et al.
Published: (2024)
Large Language Models for Link Stealing Attacks Against Graph Neural Networks
by: Guan, Faqian, et al.
Published: (2024)
by: Guan, Faqian, et al.
Published: (2024)
AMLgentex: Mobilizing Data-Driven Research to Combat Money Laundering
by: Östman, Johan, et al.
Published: (2025)
by: Östman, Johan, et al.
Published: (2025)
A GAN Approach for Node Embedding in Heterogeneous Graphs Using Subgraph Sampling
by: Hsu, Hung-Chun, et al.
Published: (2023)
by: Hsu, Hung-Chun, et al.
Published: (2023)
Hawkes based Representation Learning for Reasoning over Scale-free Community-structured Temporal Knowledge Graphs
by: Du, Yuwei, et al.
Published: (2024)
by: Du, Yuwei, et al.
Published: (2024)
Large Language Models Reflect Human Citation Patterns with a Heightened Citation Bias
by: Algaba, Andres, et al.
Published: (2024)
by: Algaba, Andres, et al.
Published: (2024)
How Deep Do Large Language Models Internalize Scientific Literature and Citation Practices?
by: Algaba, Andres, et al.
Published: (2025)
by: Algaba, Andres, et al.
Published: (2025)
LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning
by: Li, Xunkai, et al.
Published: (2024)
by: Li, Xunkai, et al.
Published: (2024)
Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach
by: Guidotti, Sabrina, et al.
Published: (2024)
by: Guidotti, Sabrina, et al.
Published: (2024)
AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images
by: Ricker, Jonas, et al.
Published: (2024)
by: Ricker, Jonas, et al.
Published: (2024)
GMoPE:A Prompt-Expert Mixture Framework for Graph Foundation Models
by: Wang, Zhibin, et al.
Published: (2025)
by: Wang, Zhibin, et al.
Published: (2025)
EHSAN: Leveraging ChatGPT in a Hybrid Framework for Arabic Aspect-Based Sentiment Analysis in Healthcare
by: Alamoudi, Eman, et al.
Published: (2025)
by: Alamoudi, Eman, et al.
Published: (2025)
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations
by: Wu, Qitian, et al.
Published: (2023)
by: Wu, Qitian, et al.
Published: (2023)
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
by: Wang, Shuo, et al.
Published: (2025)
by: Wang, Shuo, et al.
Published: (2025)
From Aggregation to Selection: User-Validated Distributed Social Recommendation
by: Huang, Jingyuan, et al.
Published: (2025)
by: Huang, Jingyuan, et al.
Published: (2025)
Similar Items
-
Mobility-LLM: Learning Visiting Intentions and Travel Preferences from Human Mobility Data with Large Language Models
by: Gong, Letian, et al.
Published: (2024) -
Data-Driven Discovery of Mobility Periodicity for Understanding Urban Systems
by: Chen, Xinyu, et al.
Published: (2025) -
Israel-Hamas war through Telegram, Reddit and Twitter
by: Antonakaki, Despoina, et al.
Published: (2025) -
Large Language Models for Social Networks: Applications, Challenges, and Solutions
by: Zeng, Jingying, et al.
Published: (2024) -
EpiLLM: Unlocking the Potential of Large Language Models in Epidemic Forecasting
by: Gong, Chenghua, et al.
Published: (2025)