ShawnyXiao/TextClassification-Keras
Collection of deep learning text classification models (FastText, TextCNN, TextRNN, HAN, RCNN) implemented in Keras with TensorFlow backend.
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Implements various neural network architectures for text classification including FastText, TextCNN, TextRNN, Bidirectional RNN with attention, Hierarchical Attention Networks (HAN), and Recurrent Convolutional Neural Networks (RCNN). The models use Keras with TensorFlow as the backend and include simplified applications demonstrating each model’s usage.
Frequently asked
- What is ShawnyXiao/TextClassification-Keras?
- Collection of deep learning text classification models (FastText, TextCNN, TextRNN, HAN, RCNN) implemented in Keras with TensorFlow backend.
- Is TextClassification-Keras open source?
- Yes — ShawnyXiao/TextClassification-Keras is open source, released under the MIT license.
- What language is TextClassification-Keras written in?
- ShawnyXiao/TextClassification-Keras is primarily written in Python.
- How popular is TextClassification-Keras?
- ShawnyXiao/TextClassification-Keras has 812 stars on GitHub.
- Where can I find TextClassification-Keras?
- ShawnyXiao/TextClassification-Keras is on GitHub at https://github.com/ShawnyXiao/TextClassification-Keras.