Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts.
Felix DrinkallStefan ZohrenJanet B. PierrehumbertPublished in: NAACL-HLT (2022)
Keyphrases
- social media
- unsupervised clustering
- user generated content
- cluster validation
- social media data
- clustering algorithm
- social networks
- social networking
- agglomerative clustering
- short term
- user generated
- unsupervised learning
- hierarchical clustering
- social web
- possibilistic clustering
- fuzzy clustering
- big data
- cluster analysis
- self organizing maps
- probabilistic model
- data clustering
- semi supervised
- supervised learning
- normalized cut
- vector space
- blog posts
- long term
- social media platforms
- social media sites
- forecasting model
- information diffusion
- social networking sites
- data hiding
- supervised classification
- subspace clustering
- support vector regression