BOW_test: Transform New Text into a Document-Feature Matrix
In quickSentiment: A Fast and Flexible Pipeline for Text Classification

BOW_test

R Documentation

Transform New Text into a Document-Feature Matrix

Description

This function takes a character vector of new documents and transforms it into a DFM that has the exact same features as a pre-fitted training DFM, ensuring consistency for prediction.

Usage

BOW_test(doc, fit)

Arguments

`doc`	A character vector of new documents to be processed.
`fit`	A fitted BoW object returned by `BOW_train()`.

Value

A quanteda dfm aligned to the training features.

Examples

train_txt <- c("apple orange banana", "apple apple")
fit <- BOW_train(train_txt, weighting_scheme = "bow")
new_txt <- c("banana pear", "orange apple")
test_dfm <- BOW_test(new_txt, fit)
test_dfm

quickSentiment documentation built on Aug. 29, 2026, 1:07 a.m.