TextClassification

MicroTC(
    config::MicroTC_Config,
    train_corpus::AbstractVector,
    train_y::CategoricalArray;
    textconfig=config.textconfig,
    verbose=true)
MicroTC(config::MicroTC_Config, textmodel::TextModel, train_X::AbstractVector{S}, train_y::CategoricalArray; verbose=true) where {S<:SVEC}

Creates a MicroTC model on the given dataset and configuration

predict(tc::MicroTC, text)
predict(tc::MicroTC, vec::SVEC)

Predicts the label of the given input

vectorize(tc::MicroTC, text; bow=BOW(), textconfig=tc.textconfig, normalize=true)
vectorize(tc::MicroTC, bow::BOW; normalize=true)

Creates a weighted vector using the model. The input text can be a string or an array of strings; it also can be an already computed bag of words.