An introductory tutorials of NLP

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

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

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