Natural Language Processing [ Building Real World Projects]
What you'll learn
- Natural Language Processing [NLP]
- Setting up the Environment for NLP
- Tokenization
- Downloading and Setting up NLTK
- Normalization
- Part of Speech Tagging
- Stopwords
- Named Entity Recognition
- Classification
- Preprocessing
- Naive Bayes Classifier
- Real World Applications of Natural Language Processing [COMPLETE PROJECT]
- Python Programming basics for Natural Language Processing
Course content
- 00:00Introduction to Natural Language Processing [Theory - Guest Lecture by Professo]
- Preview04:13
Requirements
- Computer with Internet
Description
Welcome to your first steps into the world of Natural Language Processing!
This course will guide you through the world of Natural Language Processing through hands-on tutorials with real world examples.
We will start off with the basics of Natural Language Processing, and work towards developing our very own application. By the end of this course, we will build an application that predicts what people think of any topic based on what people have said about it on Twitter.
Who this course is for:
Anyone interested in learning about Natural Language Processing.
Anyone who is not comfortable with programming but are interested in Natural Language Processing.
Students who want to start a career in Natural Language Processing.
Anyone planning on shifting their career towards Natural Language Processing.
People who want to add value to their products using Natural Language Processing.
Course Content
Natural Language Processing [NLP]
Setting up the Environment for NLP
Tokenization
Downloading and Setting up NLTK
Normalization
Part of Speech Tagging
Stopwords
Named Entity Recognition
Classification
Preprocessing
Naive Bayes Classifier
Real World Applications of Natural Language Processing [COMPLETE PROJECT]
Python Programming basics for Natural Language Processing
Does the course get updated?
We continually update the course as well.
What if you have questions?
we offer full support, answering any questions you have.
There’s no risk !
This course comes with a full 30 day money-back guarantee.
Who this course is for:
Beginners with no previous python programming experience looking to obtain the skills to get their first programming job in Natural Language Processing
Research Students (PhD, MSc, BSc etc... )
Who this course is for:
- Anyone with passion for Data Science / Natural Language Processing
Instructors
![Academy of Computing & Artificial Intelligence](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.3 Instructor Rating
- 1,817 Reviews
- 145,489 Students
- 23 Courses
I have 9 years of work experience as a Researcher, Senior Lecturer, Project Supervisor & Engineer.
MSc Artificial Intelligence (University of Moratuwa), BSc Software Engineering - First Class Honours (University of Westminster),SCJP, SCWC
I have completed a MSc in Artificial Intelligence.
Completed BSc Software Engineering - First Class Honors from University of Westminster (UK).
Sun Certified Java Programmer (SCJP). – 93% and a Sun Certified Web Component Developer 97%. .
I have research experience in Data mining, Machine Learning , Cloud computing, Business Intelligence & Software Engineering
- 4.2 Instructor Rating
- 56 Reviews
- 15,922 Students
- 2 Courses
Future AI - Academy of Computing & Artificial Intelligence
Academy of SE/CS & Artificial Intelligence introduces the field of artificial intelligence (AI). Materials on AI programming, logic, search, game playing, machine learning, natural language understanding, and robotics introduce the student to AI methods, tools, and techniques, their application to computational problems, and their contribution to understanding intelligence.
Academy of SE/CS & Artificial Intelligence introduces the field of artificial intelligence (AI). Materials on AI programming, logic, search, game playing, machine learning, natural language understanding, and robotics introduce the student to AI methods, tools, and techniques, their application to computational problems, and their contribution to understanding intelligence.
- 4.2 Instructor Rating
- 29 Reviews
- 12,107 Students
- 1 Course
I have 2 years of experience working as a Software Engineer, Researcher, and Educator.
BEng Software Engineering - First Class Honours (University of Westminster)
I work on many projects in areas such as Machine Learning, Distributed Systems, and Software Engineering. In my free time, I like to come up with my own side projects and explore the wonders of Machine Learning.