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

Requirements

students should have some experience with Python

students should be able to and install NLTK

Description

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 sennt 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



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