After a short list of real-world applications of NLP, we'll be touring the essential stack of Python NLP libraries in this chapter. These packages handle a wide range of NLP tasks as mentioned previously as well as others such as sentiment analysis, text classification, and named entity recognition.
The most famous NLP libraries in Python include the Natural Language Toolkit (NLTK), spaCy, Gensim, and TextBlob. The scikit-learn library also has impressive NLP-related features. Let's take a look at the following popular NLP libraries in Python:
- nltk: This library (http://www.nltk.org/) was originally developed for educational purposes and is now being widely used in industries as well. It is said that you can't talk about NLP without mentioning NLTK. It is one of the most famous and leading platforms for...
