NLTK vs SpaCy: What are the differences?
Developers describe NLTK as "It is a leading platform for building Python programs to work with human language data". It is a suite of libraries and programs for symbolic and statistical natural language processing for English written in the Python programming language. On the other hand, SpaCy is detailed as "Industrial-Strength Natural Language Processing in Python". It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.
NLTK can be classified as a tool in the "Machine Learning Tools" category, while SpaCy is grouped under "NLP / Sentiment Analysis".