cmasch/cnn-text-classification
Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0
# Technical Summary Implements parallel convolutional layers with varying kernel sizes (3, 4, 5) to capture n-gram features, optionally combining word-level embeddings with character-based input for robustness to misspellings. Built on TensorFlow 2 with support for both binary and multiclass sentiment classification, featuring separable convolutions, global max pooling with average pooling fusion, and optional GloVe pre-trained embeddings to improve performance across document lengths from ~10K to 800K samples.
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