Sequence Model for Text Classification - Tokenization & Vectorization
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Sequence Model for Text Classification - Tokenization & Vectorization
As we've now been introduced, sequence models, in contrast to N-gram models, do indeed make use of word order.
As the name suggests, sequence models accept sequences of ordered tokens as input. If we consider the tokens as words in a sample, then we can pass the tokenized input in its original order to the model.
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