Introduction to Natural Language Processing (NLP)

Introduction to Natural Language Processing (NLP)

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What you will learn

  • Work with text data using the Natural Language Tool Kit.

  • Load and manipulate custom text data.

  • Analyze text to discover, sentiment, important keywords, and statistics.

Curriculum

Section 1: Course Introduction

Section 2: Setup

Section 3: Python Refresher

Section 4: NLTK and the Basics

Section 5: Tokenization , Tagging, Chunking

Section 6: Custom Sources

Section 7: Projects

Course Description

Learn how to analyse text data.

Requirements

  • A computer is running Windows, OS X, or Linux.
  • Basic Python programming knowledge.

Description

This course introduces Natural Language Processing through the use of python and the Natural Language Tool Kit. Through a practical approach, you'll get hands-on experience working with and analysing text.

As a student of this course, you'll get updates for free, which include lecture revisions, new code examples, and new data projects.

By the end of this course, you will:

  • Have an understanding of how to use the Natural Language Tool Kit.
  • Be able to load and manipulate your text data.
  • Know how to formulate solutions to text-based problems.
  • Know when it is appropriate to apply solutions such as sentiment analysis and classification techniques.

Who this course is for:

  • This course is for anyone who is not familiar with Natural Language Processing and is looking for a way to start.
  • This course is probably not for you if you already have an understanding of Natural Language Processing and the Natural Language Tool Kit.