Latent Topic-based Subspace for Natural Language Processing.
Mohamed MorchidPierre-Michel BousquetWaad Ben KhederKillian JanodPublished in: J. Signal Process. Syst. (2019)
Keyphrases
- natural language processing
- latent topics
- topic models
- text mining
- latent dirichlet allocation
- topic modeling
- information extraction
- latent topic model
- machine learning
- computational linguistics
- named entity recognition
- text documents
- natural language
- latent variables
- wordnet
- low dimensional
- high dimensional data
- question answering
- feature space
- subspace clustering
- artificial intelligence
- principal component analysis
- bag of words
- named entities
- word sense disambiguation
- data mining
- weight matrix
- clustering algorithm
- text summarization
- feature extraction
- high dimensional
- databases
- dimensionality reduction
- learning algorithm
- probabilistic model