This project pioneers advancements in Natural Language Processing (NLP) by introducing a deep neural network approach to address challenges in interpreting multi-word sentences, detecting idioms, and classifying text. Focusing on text classification, it evaluates various models, with BERT outperforming others with an F1 score of 0.7980.
nlp deep-neural-networks idioms machine-learning-algorithms eda nlp-machine-learning model-comparison idiom-detection idiom-classification
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Updated
Feb 21, 2024