NLP in Python

NLP in Python

Welcome to the best Natural Language Processing course on the internet! This course is designed to be your complete online resource for learning how to use Natural Language Processing with the Python programming language.

In the course, we will cover everything you need to learn to become a world-class NLP practitioner with Python.

We’ll start with the basics, learn how to open and work with text and PDF files with Python, and learn how to use regular expressions to search for custom patterns inside text files.

Afterwards, we will begin with the basics of Natural Language Processing, utilizing the Natural Language Toolkit library for Python, as well as the state of the art Spacy library for ultra-fast tokenization, parsing, entity recognition, and lemmatization of text.

We’ll understand fundamental NLP concepts such as stemming, lemmatization, stop words, phrase matching, tokenization, and more!

Next, we will cover Part-of-Speech tagging, where your Python scripts will be able to automatically assign words in a text to their appropriate part of speech, such as nouns, verbs, and adjectives, an essential part of building intelligent language systems.

We’ll also learn about named entity recognition, allowing your code to automatically understand concepts like money, time, companies, products, and more simply by supplying the text information.

Through state of the art visualization libraries, we will be able to view these relationships in real-time.

Then we will move on to understanding machine learning with Scikit-Learn to conduct text classification, such as automatically building machine learning systems that can determine positive versus negative movie reviews or spam versus legitimate email messages.

We will expand this knowledge to more complex unsupervised learning methods for natural language processing, such as topic modelling. Our machine learning models will detect topics and major concepts from raw text files.

This course even covers advanced topics, such as sentiment analysis of the text with the NLTK library and creating semantic word vectors.

What are you waiting for? Become an expert in natural language processing today!

I will see you inside the course,

Who this NLP course is for:

1. Python developers are interested in learning how to use Natural Language Processing.