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N-grams was used as the feature selection, which refers to the process of selecting a subset of relevant features (words, variables, or predictors) to be used in the model construction. An N-gram is the sequence of a given number of words (N). The N-gram model predicts the most probable word that may follow a certain sequence. It is a probabilistic model trained on a corpus of text [40]. In addition, the N-gram model preserves the word locality information.
JMIR Form Res 2023;7:e46874
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