NLTK vs scikit-learn: What are the differences?
NLTK: 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; scikit-learn: Easy-to-use and general-purpose machine learning in Python. scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
NLTK and scikit-learn can be categorized as "Machine Learning" tools.
scikit-learn is an open source tool with 36.5K GitHub stars and 17.9K GitHub forks. Here's a link to scikit-learn's open source repository on GitHub.
According to the StackShare community, scikit-learn has a broader approval, being mentioned in 104 company stacks & 252 developers stacks; compared to NLTK, which is listed in 15 company stacks and 17 developer stacks.
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What is NLTK?
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