natural-language-processing.md

Natural Language Processing

• A curated list of speech and natural language processing resources
• Understanding Natural Language with Deep Neural Networks Using Torch
• tf-idf explained
• Interesting Deep Learning NLP Projects Stanford, Website
• The Stanford NLP Group
• NLP from Scratch | Google Paper
• Graph Based Semi Supervised Learning for NLP
• Bag of Words
  • Classification text with Bag of Words
• • Topic Modeling
  • • Topic Modeling Wikipedia
  • Probabilistic Topic Models Princeton PDF
  • LDA Wikipedia, LSA Wikipedia, Probabilistic LSA Wikipedia
  • What is a good explanation of Latent Dirichlet Allocation (LDA)?
  • Introduction to LDA, Another good explanation
  • The LDA Buffet - Intuitive Explanation
  • Your Guide to Latent Dirichlet Allocation (LDA)
  • Difference between LSI and LDA
  • Original LDA Paper
  • alpha and beta in LDA
  • Intuitive explanation of the Dirichlet distribution
  • topicmodels: An R Package for Fitting Topic Models
  • Topic modeling made just simple enough
  • Online LDA, Online LDA with Spark
  • LDA in Scala, Part 2
  • Segmentation of Twitter Timelines via Topic Modeling
  • Topic Modeling of Twitter Followers
  • Multilingual Latent Dirichlet Allocation (LDA). (Tutorial here)
  • Deep Belief Nets for Topic Modeling
  • Gaussian LDA for Topic Models with Word Embeddings
  • Python
    • Series of lecture notes for probabilistic topic models written in ipython notebook
    • Implementation of various topic models in Python
• • word2vec
  • • Google word2vec
  • Bag of Words Model Wiki
  • word2vec Tutorial
  • A closer look at Skip Gram Modeling
  • Skip Gram Model Tutorial, CBoW Model
  • Word Vectors Kaggle Tutorial Python, Part 2
  • Making sense of word2vec
  • word2vec explained on deeplearning4j
  • Quora word2vec
  • Other Quora Resources, 2, 3
  • word2vec, DBN, RNTN for Sentiment Analysis
• Text Clustering
  • How string clustering works
  • Levenshtein distance for measuring the difference between two sequences
  • Text clustering with Levenshtein distances
• Text Classification
  • Classification Text with Bag of Words
• Named Entity Recognitation
  • Stanford Named Entity Recognizer (NER)
  • Named Entity Recognition: Applications and Use Cases- Towards Data Science
• Language learning with NLP and reinforcement learning
• Kaggle Tutorial Bag of Words and Word vectors, Part 2, Part 3
• What would Shakespeare say (NLP Tutorial)
• A closer look at Skip Gram Modeling