Select a topic below to test your understanding of Text Processing.
Test your understanding of spam detection using NLP, including classification models, text preprocessing, and feature analysis.
Test your understanding of how NLP-based question answering systems analyze questions and extract contextually accurate answers.
Test your understanding of how words are represented as vectors in NLP and how embeddings capture semantic relationships.
Test your understanding of position embeddings and their role in enabling Transformers to interpret word order.
Evaluate your understanding of attention mechanisms, scaled dot-product attention, and how models determine relevance in sequences.
Test your understanding of attention heatmaps, multi-head attention visualization, and how attention scores evolve during model training.
Test your understanding of BERT's architecture, masked language modeling, next sentence prediction, and how BERT processes and understands language.