Natural language processing with NLTK and python
What you'll learn
- Natural language processing with NLTK and python
- tokenization
- named entity extraction
- chunking and chinking
- text summarization
- parts of speech tagging
- N-grams
Course content
- Preview01:39
Requirements
- students should have some experience with Python
- students should be able to download and install NLTK
Description
This course is aimed at people who are new to natural language processing (NLP). The course has two main sections, the first section explains all of the main concepts such as tokenization, parts of speech tagging, named entity extraction and so on with examples and code, the second section looks at ideas like text summarization and sentiment analysis and how we can use the core concepts from part one to solve these problems.
Who this course is for:
- people who are new to NLTK (Natural Language Tool Kit and natural language processing)
- people who are new to natural language processing
Instructor
![Paul O'Neill](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.7 Instructor Rating
- 9 Reviews
- 42 Students
- 3 Courses
I am a self employed teacher and artist living in Ireland. In the past I have also worked as a data analyst and lived in Japan for around 12 years. My academic background is in science, astrophysics and optoelectronics. I also studied computer science. With art I am self taught as are many artists and painters. If I could afford to buy any painting it would be a choice between Monet, Van Gogh and Henri de Toulouse-Lautrec.