Difference between revisions of "Natural Language Processing (NLP)"
| Line 9: | Line 9: | ||
* [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] | ||
* [[SpaCy]] Python Library | * [[SpaCy]] Python Library | ||
| + | * [[Global Vectors for Word Representation (GloVe)]] | ||
* [[Courses]]: | * [[Courses]]: | ||
Revision as of 21:46, 6 September 2018
- Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Recurrent Neural Network (RNN)
- 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
- SpaCy Python Library
- Global Vectors for Word Representation (GloVe)
Word2Vec