Defining Kinds of Violence in Russian Short Stories of 1900-1930: A Case of Topic Modelling With LDA and PCA.
Ekaterina GryaznovaMargarita KirinaPublished in: IMS (2021)
Keyphrases
- principal component analysis
- linear discriminant analysis
- latent dirichlet allocation
- topic models
- face recognition
- dimensionality reduction
- discriminant analysis
- feature extraction
- principal components analysis
- topic modeling
- principle component analysis
- dimension reduction
- subspace methods
- news stories
- topic discovery
- topic tracking
- principal components
- covariance matrix
- feature space
- information retrieval
- independent component analysis
- generative model
- low dimensional
- lower dimensional
- co occurrence
- feature vectors
- latent topics
- gabor features
- kernel principal component analysis
- support vector