Difference between revisions of "Natural Language Processing (NLP)"
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* [[Doc2Vec]] | * [[Doc2Vec]] | ||
* [[Bag-of-Words]] | * [[Bag-of-Words]] | ||
| + | * [[SpaCy]] Python Library | ||
* [[Autoencoders / Encoder-Decoders]] | * [[Autoencoders / Encoder-Decoders]] | ||
* [[AI-Powered Search]] | * [[AI-Powered Search]] | ||
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* [http://medium.com/@datamonsters/artificial-neural-networks-for-natural-language-processing-part-1-64ca9ebfa3b2 7 types of Artificial Neural Networks for Natural Language Processing] | * [http://medium.com/@datamonsters/artificial-neural-networks-for-natural-language-processing-part-1-64ca9ebfa3b2 7 types of Artificial Neural Networks for Natural Language Processing] | ||
* [http://www.aclweb.org/anthology/C16-1229 Combination of Convolutional and Recurrent Neural Network for Sentiment Analysis of Short Texts | Xingyou Wang, Weijie Jiang, Zhiyong Luo] | * [http://www.aclweb.org/anthology/C16-1229 Combination of Convolutional and Recurrent Neural Network for Sentiment Analysis of Short Texts | Xingyou Wang, Weijie Jiang, Zhiyong Luo] | ||
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* [[Courses]]: | * [[Courses]]: | ||
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<youtube>p5K_xtldcp4</youtube> | <youtube>p5K_xtldcp4</youtube> | ||
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Revision as of 22:11, 6 September 2018
- Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Recurrent Neural Network (RNN)
- Global Vectors for Word Representation (GloVe)
- Word2Vec
- Doc2Vec
- Bag-of-Words
- SpaCy Python Library
- Autoencoders / Encoder-Decoders
- AI-Powered Search
- Neural Coreference
- Deep Q Learning (DQN)
- 7 types of Artificial Neural Networks for Natural Language Processing
- Combination of Convolutional and Recurrent Neural Network for Sentiment Analysis of Short Texts | Xingyou Wang, Weijie Jiang, Zhiyong Luo
