NLTK is widely considered the most comprehensive Python library for NLP. It is an essential library that supports tasks like classification, tagging, stemming, parsing, and semantic reasoning.

Using NLTK, we can train a bot to recognize sentiment by first examining a set of manually annotated data. We create this by taking three lists: one of positive comments, another of negative ...

Python’s popularity in the data science and machine learning communities, combined with the ease of use and extensive documentation of NLTK, has made it a go-to choice for many NLP projects.

A further 22% of Python developers use DigitalOcean, and 20% use Heroku. Microsoft Azure comes in at fifth place with a 19% share while 12% use PythonAnywhere.