Keep *_model = NULL to proceed with a model made from default parameters (see each individual make_* function for parameters). However, it is not advisable to accept default parameters for each model; you should tune each model according to your dataset and the business question you are answering.
Usage
bt_compile_model(
...,
embedding_model = NULL,
reduction_model = NULL,
clustering_model = NULL,
vectoriser_model = NULL,
ctfidf_model = NULL
)Arguments
- ...
Additional arguments sent to bertopic.BERTopic()
- embedding_model
Model for creating embeddings (Python object)
- reduction_model
Model for reducing embeddings' dimensions (Python object)
- clustering_model
Model for clustering (Python object)
- vectoriser_model
Model for vectorising input for topic representations (Python object)
- ctfidf_model
Model for performing class-based tf-idf (ctf-idf) (Python object)