------- is a model that uses a convolutional neural network (CNN) to classify texts.

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."