After a short list of real-world applications of NLP, we will be touring the essential stack of Python NLP libraries in this chapter. These packages handle a wide range of NLP tasks as mentioned above as well as others such as sentiment analysis, text classification, named entity recognition, and many more.
The most famous NLP libraries in Python include Natural Language Toolkit (NLTK), Gensim and TextBlob. The scikit-learn library also has NLP related features. NLTK (http://www.nltk.org/) was originally developed for education purposes and is now being widely used in industries as well. There is a saying that you can't talk about NLP without mentioning NLTK. It is the most famous and leading platform for building Python-based NLP applications. We can install it simply by running the sudo pip install -U nltk command in Terminal.
NLTK comes with over 50 collections of...
