
On this lecture we make a brief introduction to Natural Language Processing (NLP).
On this lesson we explain how to use google colab for programming in Python.
On this lecture we see how to install the Natural Language Toolkit (NLTK) in our notebook.
On this lecture we introduce searching and analyzing text in NLTK.
On this lecture we study the vocabulary exploration in NLTK.
On this lecture we study how to compute the frequency distributions of texts.
On this lecture we study fine-grained selection of words in texts.
On this lecture we study collocations.
On this lecture we learn how to access text corpus in NLTK.
Moreover, we work with the gutenberg corpus.
On this lecture we analyze the use of modals in different genres on the Brown Corpus.
On this lecture we study the different text corpus structures.
On this lecture we study the basic corpus functionality.
On this lecture we introduce lexical resources and the standard terminology is studied.
On this lecture we study the wordlist and stopwords corpora.
On this lecture we solve the Word Puzzle Problem using Natural Language Processing and the Word List Corpus.
On this lecture we study the Names Corpus and solve a brief exercise.
On this lecture we study the Pronouncing Dictionary in Natural Language Processing.
On this lecture we implement a simple translator using comparative wordlists.
On this lecture we make a brief introduction to WordNet.
On this lecture we introduce The WordNet Hierarchy and study the concepts of hyponym and hypernym.
On this lecture we study the concepts of meronyms and holonyms.
On this lecture we study the concept of semantic similarity.
On this lecture we learn how we can extract and process texts from the Web.
On this lecture we make an introduction on detecting words patterns using regular expressions.
On this lecture we study ranges and closures in regular expressions.
On this lecture we study the metacharacters in regular expressions.
On this lecture we begin studying the first application of regular expressions: extracting word pieces.
On this lecture we continue studying the applications of regular expressions: finding word stems.
On this lecture we make a brief review of the normalization of texts in natural language processing.
In this course, we will master Natural Language Processing from scratch. Implement 3000+ lines of NLP code yourself, with guidance, through 100+ examples and exercises.
Why Natural Language Processing (NLP):
It's currently the most dynamic field transforming how machines understand and process human language—NLP jobs are booming, and the demand is insatiable
NLP offers significantly higher opportunities, with salaries exceeding those of comparable positions in other domains
it's incredibly fun - if you learn Natural Language Processing, you'll hardly want to get back
it unlocks the doors to some of the latest technologies - machine translation, chatbots, intelligent language models and more
This course
deconstructs Natural Language Processing - which is otherwise hard to learn - into the critical pieces you need
selects key NLP concepts, distinguishing between the fundamental and the powerful, ensuring a comprehensive grasp of the subject
sequences ideas in a way that "clicks" and makes sense throughout the process of learning
applies everything in live NLP code, ensuring you're not just learning concepts but applying them in practical, real-world scenarios
The end benefits are still much greater:
significant bump in salary when you learn NLP- return on investment for this course >100x in the first year alone!
more enjoyable work - Natural Language Processing is fun!
future-proof skills - you'll be able to work with some of the cutting edge technologies (chatbots, intelligent models, etc)
What if I have questions?
As if this course wasn’t complete enough, I offer full support, answering any questions you have 7 days a week.
This means you’ll never find yourself stuck on one lesson for days on end. With my hand-holding guidance, you’ll progress smoothly through this course without any major roadblocks.
There’s no risk either!
This course comes with a full 30-day money-back guarantee. Meaning if you are not completely satisfied with the course or your progress, simply let me know and I’ll refund you 100%, every last penny no questions asked
You either end up with Natural Language Processing (NLP) skills, go on to develop great programs and potentially make an awesome career for yourself, or you try the course and simply get all your money back if you don’t like it
You literally can’t lose
Ready to get started, developer?
Enroll now using the “Add to Cart” button on the right, and get started on your way to creative, advanced NLP brilliance. Or, take this course for a free spin using the preview feature, so you know you’re 100% certain this course is for you.
See you on the inside (hurry, Natural Languaeg Processing is waiting!)