Natural Language Processing (NLP)

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• How do I learn Natural Language Processing? | Sanket Gupta
• Natural Language Processing | Wikipedia
• Grammar Induction | Wikipedia
• Natural Language Tools
• 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 (scikit-learn: Count Vectorizer)
• Latent Dirichlet Allocation (LDA)
• Autoencoders / Encoder-Decoders
• AI-Powered Search
• Neural Coreference
• Deep Q Learning (DQN)
• NLP News | Sebastian Ruder
• 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
• Language services | Cognitive Services | Microsoft Azure
• Text Transfer Learning

• Courses:
  • Natural Language Processing with Deep Learning | Stanford
  • Natural Language Processing | Higher School of Economics
  • Deep Learning for Natural Language Processing | Oxford - Phil Blunsom

Speech recognition, speech translation, understanding complete sentences, understanding synonyms of matching words, sentiment analysis, and writing complete grammatically correct sentences and paragraphs.

Regular Expressions (Regex)

• Breaking the Ice with Regular Expressions | Code Schol

Search for text patterns, validate emails and URLs, capture information, and use patterns to save development time.

Evaluation Matrics

Confusion Matrix, Precision, Recall, F Score, ROC Curves, trade off between True Positive Rate and False Positive Rate.

Deep Learning Algorithms

• LSTM
• GRU

NLP Pipeline

• CogComp NLP Pipeline | Cognitive Computation Group, led by Prof. Dan Roth