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Getting Started with Natural Language Processing with Python

Offered By: Pluralsight

Tags

Machine Learning Courses Python Courses Web Scraping Courses Natural Language Toolkit (NLTK) Courses Text Classification Courses BeautifulSoup Courses

Course Description

Overview

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This course is all about taking raw text data and deriving insights and value from it--processing text data using standard techniques in Natural Language Processing and Machine Learning.

Text data is available in abundance on the Internet, whether it be reviews, tweets, surveys, web pages or emails. Natural language processing is a powerful skill that helps you derive immense value from that data. In this course, Getting Started with Natural Language Processing with Python, you'll first learn about using the Natural Language Toolkit to pre-process raw text. Next, you'll learn how to scrape websites for texting using BeautifulSoup, as well as how to auto-summarize text using machine learning. You'll wrap up the course by exploring how to classify text using machine learning. By the end of this course you'll be able to confidently process raw text data and apply machine learning algorithms to it.

Syllabus

  • Course Overview 1min
  • Getting Started 35mins
  • Auto-summarizing Text 26mins
  • Classifying Text Using Machine Learning 39mins

Taught by

Swetha Kolalapudi

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