A Comparison of Latent Semantic Analysis and Correspondence Analysis for Text Mining.
Qianqian QiDavid J. HessenPeter G. M. van der HeijdenPublished in: CoRR (2021)
Keyphrases
- latent semantic analysis
- text mining
- correspondence analysis
- document clustering
- latent dirichlet allocation
- topic modeling
- co occurrence
- information extraction
- singular value decomposition
- information retrieval
- natural language processing
- factor analysis
- latent semantic indexing
- topic models
- text summarization
- data mining
- text classification
- tf idf
- categorical data
- natural language
- pattern recognition
- multidimensional scaling
- named entities
- active learning
- data analysis
- machine learning