Python has several libraries that can be used for sentiment analysis, including Pattern, NLTK, TextBlob, and spaCy. These libraries provide a wide range of features, such as tokenization, part-of ...

CoreNLP also supports the use of NLTK, a major Python NLP library discussed below. As of version 3.2.3, NLTK includes interfaces to CoreNLP in its parser. Just be sure to use the correct API.

NLTK (Natural Language Toolkit) One of the most widely used programming languages for NLP is Python, which has a rich ecosystem of libraries and tools for NLP, including the NLTK.