An introductory tutorials of NLP
This repo contains notebooks introducing basic NLP concepts for anyone to start working with NLP datasets.
- Install Python 3 - https://www.python.org/downloads/
- Install Jupyter - http://jupyter.org/
- python -m pip install --upgrade pip
- python -m pip install jupyter
- Install numpy
- pip install numpy
- Install nltk
- pip install -U nltk
- Install nltk datasets
- import nltk; nltk.download()
- Corpora -> [stopwords, wordnet, words]
- Models -> [punkt, averaged_perceptron_tagger, maxent_ne_chunker]
- Install autocorrect
- pip install autocorrect
- Install Git https://git-scm.com/downloads
- git clone https://github.com/santoshgsk/nlp-workshop.git
- Install Cygwin
- 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”
- Install Jupyter - http://jupyter.org/ (run all the following commands in cygwin)
- python -m pip install --upgrade pip
- python -m pip install jupyter
- Install numpy
- pip install numpy
- Install nltk
- pip install -U nltk
- Install nltk datasets
- import nltk; nltk.download()
- Corpora -> [stopwords, wordnet, words]
- Models -> [punkt, averaged_perceptron_tagger, maxent_ne_chunker]
- Install autocorrect
- pip install autocorrect
- Install Git https://git-scm.com/downloads
- git clone https://github.com/santoshgsk/nlp-workshop.git