Skip to content
 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 

Repository files navigation

nlp-workshop

An introductory tutorials of NLP

This repo contains notebooks introducing basic NLP concepts for anyone to start working with NLP datasets.

Requirements

Linux/Mac Users

  1. Install Python 3 - https://www.python.org/downloads/
  2. Install Jupyter - http://jupyter.org/
    • python -m pip install --upgrade pip
    • python -m pip install jupyter
  3. Install numpy
    • pip install numpy
  4. Install nltk
    • pip install -U nltk
  5. Install nltk datasets
    • import nltk; nltk.download()
    • Corpora -> [stopwords, wordnet, words]
    • Models -> [punkt, averaged_perceptron_tagger, maxent_ne_chunker]
  6. Install autocorrect
    • pip install autocorrect
  7. Install Git https://git-scm.com/downloads
  8. git clone https://github.com/santoshgsk/nlp-workshop.git

Windows Users

  1. Install Cygwin
  2. Install Python 3 - https://www.python.org/downloads/
    • Select “Add Python 3.6 to Path” and opt “Install Now” and opt “Disable path length limit”
  3. Install Jupyter - http://jupyter.org/ (run all the following commands in cygwin)
    • python -m pip install --upgrade pip
    • python -m pip install jupyter
  4. Install numpy
    • pip install numpy
  5. Install nltk
    • pip install -U nltk
  6. Install nltk datasets
    • import nltk; nltk.download()
    • Corpora -> [stopwords, wordnet, words]
    • Models -> [punkt, averaged_perceptron_tagger, maxent_ne_chunker]
  7. Install autocorrect
    • pip install autocorrect
  8. Install Git https://git-scm.com/downloads
  9. git clone https://github.com/santoshgsk/nlp-workshop.git

About

An introductory tutorials of NLP

Resources

Stars

Watchers

Forks

Releases

Packages

Contributors

Languages