Detecting Polarized Topics in COVID-19 News Using Partisanship-aware Contextualized Topic Embeddings.
Zihao HeNegar MokhberianAntónio CâmaraAndrés AbeliukKristina LermanPublished in: CoRR (2021)
Keyphrases
- news topics
- hot topics
- news items
- news stories
- topic detection
- news articles
- short texts
- topic detection and tracking
- topic drift
- topic models
- topic tracking
- related topics
- latent dirichlet allocation
- emerging topics
- trend analysis
- blog posts
- topic specific
- keywords
- public opinion
- short text
- statistical topic models
- blog search
- topic modeling
- news video
- news feeds
- topic discovery
- low dimensional
- news events
- text streams
- online news
- vector space
- dimensionality reduction
- document clustering
- manifold learning
- web news
- news sites
- news media
- generative model
- user interests
- latent topics
- distance measure
- topic hierarchy
- co occurrence
- hilbert space
- social media