richliao/textClassifier
Text classifier for Hierarchical Attention Networks for Document Classification
Implements three distinct architectures—hierarchical attention networks with word and sentence-level attention, CNNs with convolutional filters, and bidirectional LSTMs with attention mechanisms—all built on Keras. Supports interpretability by extracting attention weights to identify important words for predictions. Compatible with pre-trained GloVe embeddings and includes training pipelines on standard datasets like IMDB reviews.
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Python
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Sep 16, 2021
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