Computer scienceData scienceNLPMain NLP tasks

Text Classification

Models for text classification

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Match the models for text classification task and their descriptions.

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SVM (Support Vector Machines)

GBDT (Gradient-Boosted Decision Trees)

RNN (Recurrent Neural Network)

BERT (Bidirectional Encoder Representations from Transformers)

Optimizes model performance through iterative learning, combining weak learners like decision trees to create a strong learner

Creates a line or hyperplane to separate data into classes

Captures long dependencies between words for the final decision

Uses transformer-based architecture and bidirectional context to capture complex relationships in the text

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