Latent semantic analysis (LSA) model
A latent semantic analysis (LSA) model discovers relationships between documents and the words that they contain. An LSA model is a dimensionality reduction tool useful for running low-dimensional statistical models on high-dimensional word counts. If the model was fit using a bag-of-n-grams model, then the software treats the n-grams as individual words.
Create an LSA model using the fitlsa
function.
transform | Transform documents into lower-dimensional space |
bagOfWords
| fitlsa
| ldaModel
| lsaModel
| transform