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Introduction to Natural Language Processing (NLP)

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    Introduction to Natural Language Processing (NLP)
    Introduction to Natural Language Processing (NLP)

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Course Description

Introduction to Natural Language Processing (NLP) Udemy Free Download

Learn how to analyze text data.

What you'll learn:

  • Work with text data using the Natural Language Tool Kit.
  • Load and manipulate custom text data.
  • Analyze text to discover, sentiment, important key words, and statistics.

Requirements:

  • A computer 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 analyzing 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 own 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.

This course includes:

  • 3 hours on-demand video
  • 3 articles
  • 16 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

Course Specifications:

  • Free Demo
  • 100% job Assistance
  • Flexible Timing
  • Realtime Project Work
  • Learn From Experts
  • Get Certified
  • Place your career
  • Reasonable fees
  • Access on mobile and Tv
  • High-quality content and Class videos
  • Learning Management System
  • Full lifetime access

Keywords

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