Shypd.aiThe largest open index of AI toolstextClassifier is an open-source text classification tool that implements Hierarchical Attention Networks for Document Classification. It also includes Convolutional Neural Networks for Sentence Classification and bidirectional LSTM with attention.
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textClassifier is an open-source project providing implementations for various neural network architectures tailored for text classification tasks. It features Hierarchical Attention Networks for Document Classification (HATT), Convolutional Neural Networks for Sentence Classification (textClassifierConv), and bidirectional LSTM with one-level attentional RNN (textClassifierRNN). The tool allows users to derive attention weights to identify important words for classification, though the README notes that initial results for this feature were not very promising. It requires Python 2.7 and Keras 2.0.8, and provides instructions for setting up dependencies, downloading datasets like IMDb train from Kaggle, and GloVe word vectors.
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