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------- is a model that uses a convolutional neural network (CNN) to classify texts.
Correct Answer:
Text CNN Explanation: Text CNN applies convolutional layers directly to text data represented as word embeddings. By using multiple kernel sizes, Text CNN captures features from n-grams of varying lengths. These features are pooled and passed to fully connected layers for classification tasks such as sentiment analysis or spam detection. Exact Extract from HCIP-AI EI Developer V2.5: "Text CNN applies convolution and pooling over word embeddings to extract local features for text classification." Reference:HCIP-AI EI Developer V2.5 Official Study Guide - Chapter: CNN Applications in NLP
