February 28, 2018

Forwarded from Data Science:

Most common libraries for Natural Language Processing:

CoreNLP from Stanford group:

stanfordnlp.github.io/CoreNLP/index.html

NLTK, the most widely-mentioned NLP library for Python:

www.nltk.org/

TextBlob, a user-friendly and intuitive NLTK interface:

textblob.readthedocs.io/en/dev/index.html

Gensim, a library for document similarity analysis:

radimrehurek.com/gensim/

SpaCy, an industrial-strength NLP library built for performance:

spacy.io/docs/

Source: itsvit.com/blog/5-heroic-tools-natural-language-processing/

#nlp #digest #libs

Stanford CoreNLP

High-performance human language analysis tools. Widely used, available open source; written in Java.