Computer scienceData scienceNLPMain NLP tasks

Text Classification

Theory

Preprocessing techniques

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Match the preprocessing techniques of text and their explanations.

Match the items from left and right columns
One-Hot encoding
Count-encoding
TF-IDF vectorization
Word2Vec or FastText vectors
Pretrained vectors from a language model
Trained vectors from scratch
Generates word embeddings based on contextual information
Develops custom embeddings trained on a specific corpus.
Represents token presence in the text using a binary vector with vocabulary size
Utilizes embeddings trained using language modeling techniques
Indicates token frequency in the text using a vector
Creates a vector with weighted token frequencies within the text and corpus
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