Imagen de Portada

Analyzing Political Text at Scale with Online Tensor LDA

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kangaslahti, Sara, Ebanks, Danny, Kossaifi, Jean, Liu, Anqi, Alvarez, R. Michael, Anandkumar, Animashree
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Social and Information Networks
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Targeted Advertising on Social Networks Using Online Variational Tensor Regression
por: Idé, Tsuyoshi, et al.
Publicado: (2022)

Analyzing Trendy Twitter Hashtags in the 2022 French Election
por: Mandviwalla, Aamir, et al.
Publicado: (2023)

D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams
por: Higashiguchi, Shingo, et al.
Publicado: (2025)

Fourier Neural Operators Explained: A Practical Perspective
por: Duruisseaux, Valentin, et al.
Publicado: (2025)

Online Influence Maximization: Concept and Algorithm
por: Guo, Jianxiong
Publicado: (2023)

Learning for Detecting Norm Violation in Online Communities
por: Santos, Thiago Freitas dos, et al.
Publicado: (2021)

Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning
por: Jiang, Ruobing, et al.
Publicado: (2025)

TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale
por: Liu, Kay, et al.
Publicado: (2024)

Communication-Constrained Private Decentralized Online Personalized Mean Estimation
por: Yakimenka, Yauhen, et al.
Publicado: (2025)

The Shape of Deceit: Behavioral Consistency and Fragility in Money Laundering Patterns
por: Butvinik, Danny, et al.
Publicado: (2025)

Online Minimization of Polarization and Disagreement via Low-Rank Matrix Bandits
por: Cinus, Federico, et al.
Publicado: (2025)

Continuous Language Model Interpolation for Dynamic and Controllable Text Generation
por: Kangaslahti, Sara, et al.
Publicado: (2024)

VaxPulse: Monitoring of Online Public Concerns to Enhance Post-licensure Vaccine Surveillance
por: Javed, Muhammad, et al.
Publicado: (2025)

Large Scale Community-Aware Network Generation
por: Ramavarapu, Vikram, et al.
Publicado: (2025)

H$^2$GFM: Towards unifying Homogeneity and Heterogeneity on Text-Attributed Graphs
por: Nguyen, Trung-Kien, et al.
Publicado: (2025)

What Drives Online Popularity: Author, Content or Sharers? Estimating Spread Dynamics with Bayesian Mixture Hawkes
por: Calderon, Pio, et al.
Publicado: (2024)

To Vaccinate or not to Vaccinate? Analyzing $\mathbb{X}$ Power over the Pandemic
por: Khan, Tanveer, et al.
Publicado: (2025)

Random Walk Diffusion for Efficient Large-Scale Graph Generation
por: Bernecker, Tobias, et al.
Publicado: (2024)

Mathematical Framework for Online Social Media Auditing
por: Huleihel, Wasim, et al.
Publicado: (2022)

Wildlife Product Trading in Online Social Networks: A Case Study on Ivory-Related Product Sales Promotion Posts
por: Mou, Guanyi, et al.
Publicado: (2024)

Decoding Multilingual Topic Dynamics and Trend Identification through ARIMA Time Series Analysis on Social Networks: A Novel Data Translation Framework Enhanced by LDA/HDP Models
por: Jaballi, Samawel, et al.
Publicado: (2024)

The Ethical Risks of Analyzing Crisis Events on Social Media with Machine Learning
por: Kraft, Angelie, et al.
Publicado: (2022)

Revisiting Information Cascades in Online Social Networks
por: Sidorov, Michael, et al.
Publicado: (2022)

Are Online Sports Fan Communities Becoming More Offensive? A Quantitative Review of Topics, Trends, and Toxicity of r/PremierLeague
por: Mazhar, Muhammad Zeeshan, et al.
Publicado: (2025)

Adversarial Text Rewriting for Text-aware Recommender Systems
por: Oh, Sejoon, et al.
Publicado: (2024)

Inferring Graphs from Cascades: A Sparse Recovery Framework
por: Pouget-Abadie, Jean, et al.
Publicado: (2015)

When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark
por: Lin, Junhong, et al.
Publicado: (2024)

Predicting Hidden Links and Missing Nodes in Scale-Free Networks with Artificial Neural Networks
por: Pran, Rakib Hassan
Publicado: (2021)

Discovering Communication Pattern Shifts in Large-Scale Labeled Networks using Encoder Embedding and Vertex Dynamics
por: Shen, Cencheng, et al.
Publicado: (2023)

Cascade-based Randomization for Inferring Causal Effects under Diffusion Interference
por: Fatemi, Zahra, et al.
Publicado: (2024)

Investigating Vaccine Buyer's Remorse: Post-Vaccination Decision Regret in COVID-19 Social Media Using Politically Diverse Human Annotation
por: Stanley, Miles, et al.
Publicado: (2026)

Uncovering Social Network Activity Using Joint User and Topic Interaction
por: Abel, Gaspard, et al.
Publicado: (2025)

Temporal Analysis of Drifting Hashtags in Textual Data Streams: A Graph-Based Application
por: Garcia, Cristiano M., et al.
Publicado: (2024)

Characterizing, Detecting, and Predicting Online Ban Evasion
por: Niverthi, Manoj, et al.
Publicado: (2022)

Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing
por: Kobara, Seibi, et al.
Publicado: (2024)

HLSAD: Hodge Laplacian-based Simplicial Anomaly Detection
por: Frantzen, Florian, et al.
Publicado: (2025)

Sparsification of the regularized magnetic Laplacian with multi-type spanning forests
por: Fanuel, Michaël, et al.
Publicado: (2022)

GASTON: Graph-Aware Social Transformer for Online Networks
por: Wloch, Olha, et al.
Publicado: (2026)

Incremental Spatial and Spectral Learning of Neural Operators for Solving Large-Scale PDEs
por: George, Robert Joseph, et al.
Publicado: (2022)

GeoLife+: Large-Scale Simulated Trajectory Datasets Calibrated to the GeoLife Dataset
por: Amiri, Hossein, et al.
Publicado: (2024)