kimrharper/nlp-study-group

Collection of links, reference papers and sample code for understanding NLP

nlp-study-group

Collection of links, reference papers and sample code for studying natural language processing (aka computational linguistics).

Group project

Proposal: Create a daemonized Linux process that scrapes and stores twitter and quora data in a PostgreSQL database. Perform Bayesian sentiment analysis on the two data sources.

P( TwitterSentiment | QuoraSentiment) = P(QS | TS) P(TS) / P(QS)

Web references

• NLP Overview - Modern Deep Learning Techniques Applied to Natural Language Processing
• NLP Progress - current state-of-the-art for the most common NLP tasks
• Fuzzy C-means clustering in R

Project references

• awesome-nlp - goog collection of NLP links
• Capstone_2016_us_elections — Emile Badran's final project for Thinkful Data Science project.

Slide decks

• NMF and clustering slides from Stanford
• NMF and PCA slides
• Andrew Moore from Carnegie Mellon

Tool references

• Apache Airflow - pipeline scheduler based on Directed Acyclic Graphs (DAGs)

Book references

• Speech and Language Processing by Dan Jurafsky and James H. Martin. Nice looking, covers n-grams, naive bayes classifiers, sentiment, logistic regression, vector semantics, neural nets, part-of-speech tagging, sequence processing with recurrent networks, grammers, syntax, statistical parsing, information extraction. hidden markov models.

Course references

• CS224n: Natural Language Processing with Deep Learning See Stanford NLP course Winter 2017

Video references

• Stanford NLP course Winter 2017 - by Christopher Manning.

Wikipedia references

• https://en.wikipedia.org/wiki/Natural_language_processing
• https://en.wikipedia.org/wiki/Non-negative_matrix_factorization
• https://en.wikipedia.org/wiki/Graph_theory
• https://en.wikipedia.org/wiki/Bayesian_network
• https://en.wikipedia.org/wiki/Computational_linguistics
• https://en.wikipedia.org/wiki/Fuzzy_clustering