Understand the various concepts of natural language processing along with their implementation
Build natural language processing based applications
Learn about the different modules available in Python for NLP
Create personal spam filter or sentiment predictor
Create personal text summarizer Requirements
Basic Programming Experience in any language
Concept of Object Oriented Programming
Knowledge of Basic to Intermediate Mathematics
Knowledge of Matrix operations Description
In this course you will learn the various concepts of natural language processing by implementing them hands on in python programming language. This course is completely project based and from the start of the course the main objective would be to learn all the concepts required to finish the different projects. You will be building a text classifier which you will use to predict sentiments of tweets in real time and you will also be building an article summarizer which will fetch articles from websites and find the summary. Apart from these you will also be doing a lot of mini projects through out the course. So, at the end of the course you will have a deep understanding of NLP and how it is applied in real world.
Who is the target audience?
Anyone willing to start a career in data science and natural language processing
Anyone willing to learn the concepts of natural language processing by implementing them
Anyone willing to learn Sentiment Analysis