Topic extraction from millions of tweets using singular value decomposition and feature selection.
Takako HashimotoTetsuji KuboyamaBasabi ChakrabortyPublished in: APSIPA (2015)
Keyphrases
- singular value decomposition
- topic extraction
- feature selection
- dimensionality reduction
- document classification
- text analysis
- document clustering
- dimension reduction
- topic modeling
- blog entries
- text categorization
- text classification
- least squares
- news articles
- latent dirichlet allocation
- singular values
- principal component analysis
- feature space
- feature set
- unsupervised learning
- text mining
- named entities
- support vector
- feature extraction
- machine learning
- classification accuracy
- high dimensionality
- face recognition
- text documents
- topic models
- generative model
- information retrieval systems
- semi supervised