predict.ctm_topic_model {textmineR} | R Documentation |
Predict method for Correlated topic models (CTM)
Description
Obtains predictions of topics for new documents from a fitted CTM model
Usage
## S3 method for class 'ctm_topic_model'
predict(object, newdata, ...)
Arguments
object |
a fitted object of class "ctm_topic_model" |
newdata |
a DTM or TCM of class dgCMatrix or a numeric vector |
... |
further arguments passed to or from other methods. |
Value
a "theta" matrix with one row per document and one column per topic
Note
Predictions for this method are performed using the "dot" method as described in the textmineR vignette "c_topic_modeling".
Examples
# Load a pre-formatted dtm
## Not run:
data(nih_sample_dtm)
model <- FitCtmModel(dtm = nih_sample_dtm[1:20,], k = 3,
calc_coherence = FALSE, calc_r2 = FALSE)
# Get predictions on the next 50 documents
pred <- predict(model, nih_sample_dtm[21:100,])
## End(Not run)
[Package textmineR version 3.0.5 Index]