Learning NLP with SpaCy 2.3 and NLTK

The following notebooks provide a demonstration the features that you can expect from a Natural Processing Engine, starting simple task such as Tokenization to advanced analysis such as Named Entity recognition. Each notebook focuses on one feature that has been shown with SpaCy 2.3 with the English model and NLTK 3.6.2. Please refer to SpaCy documentation and NLTK documentation for more details.

##Let's start You can fork and/or clone this repository and get all the notebooks available.

git clone https://github.com/nluninja/nlp_crash_course

Available Notebooks

Name	requires
NLP Basics	SpaCy 2.3
Tokenization	SpaCy 2.3
Stemming	NLTK 3.6.2
Lemmatization	SpaCy 2.3
Stop Words	SpaCy 2.3
Part-of-Speech	SpaCy 2.3
Visualizing PoS	SpaCy 2.3
Named Entities	SpaCy 2.3
Visualizing-NER	SpaCy 2.3