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Development Data Science NLTK

Natural language processing with NLTK and python

Learn and apply all of the fundamental concepts in natural language processing using NLTK
Rating: 5.0 out of 55.0 (1 rating)
8 students
Created by Paul O'Neill
Last updated 9/2020
English
English [Auto]
30-Day Money-Back Guarantee

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

3 sections • 15 lectures • 1h 20m total length

  • Preview01:39

  • Tokenization
    09:32
  • Tokenization mini-project
    04:48
  • Stopwords
    05:40
  • Stopwords mini-project
    04:22
  • Lemmatization and stemming
    05:14
  • Lemmatization and stemming: mini-project
    02:30
  • Parts of speech tagging
    02:00
  • Parts of speech tagging: mini-project
    02:54
  • Bag of words
    02:02
  • NGrams
    02:18
  • Chunking and Chinking
    06:37
  • Named entity extraction
    09:40

  • Building some text summarization code
    10:08
  • How to approach a problem, building a sentiment analyzer
    11:33

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
Teacher and Artist
Paul O'Neill
  • 4.3 Instructor Rating
  • 7 Reviews
  • 36 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.

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