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README.rst

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Introduction
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============
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.. image:: docs/pic/Overview.png
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====================================
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Text and Document Feature Extraction
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Word Embedding
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~~~~~~~~~~~~~~
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.. image:: docs/pic/CBOW.png
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--------
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Word2Vec
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Global Vectors for Word Representation (GloVe)
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----------------------------------------------
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FastText
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Random Projection
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~~~~~~~~~~~~~~~~~
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.. image:: docs/pic/Random%20Projection.png
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~~~~~~~~~~~
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Autoencoder
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~~~~~~~~~~~
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.. image:: docs/pic/Autoencoder.png
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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T-distributed Stochastic Neighbor Embedding (T-SNE)
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K-nearest Neighbor
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.. image:: docs/pic/KNN.png
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Support Vector Machine~(SVM)
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Random Forest
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.. image:: docs/pic/RF.png
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Conditional Random Field (CRF)
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Deep Neural Networks
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.. image:: docs/pic/DNN.png
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Recurrent Neural Networks (RNN)
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.. image:: docs/pic/RNN.png
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.. image:: docs/pic/LSTM.png
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Convolutional Neural Networks (CNN)
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.. image:: docs/pic/CNN.png
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Deep Belief Network (DBN)
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Hierarchical Attention Networks
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.. image:: docs/pic/HAN.png
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Recurrent Convolutional Neural Networks (RCNN)
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.. image:: docs/pic/F1.png
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Matthew correlation coefficient (MCC)
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