View source: R/text_analysis.R
classifier_selection_description | R Documentation |
Classifies new documents on a labeled training set (description).
classifier_selection_description( train, new_docs, text_field = "description", class_to_keep = 1, training_classify_var = "EV_article", prior = "uniform", classifier_type = "xgboost", stem_dfm = FALSE, return_logical = FALSE, logical_to_prob = FALSE, ... )
train |
a data frame with the training documents. |
new_docs |
the documents to classify. |
text_field |
the text field (must be the same in the training documents and the documents to classify). |
class_to_keep |
the class (0 or 1) to keep. |
training_classify_var |
the variable containing the labels in the training set. |
prior |
for naive bayes classifier only. |
classifier_type |
which classifier to use (xgboost or nb (naive Bayes)) |
return_logical |
return the subset of documents or a logical vector indicating that subset. |
... |
other arguments to be passed to |
stem |
for preprocessing |
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