Getting Started with Natural Language Processing with Python

By Swetha Kolalapudi
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.
Play course overview
Course info
Rating
(237)
Level
Beginner
Updated
Nov 14, 2016
Duration
1h 43m
Table of contents
Course Overview
Course Overview 2m
Getting Started
Recognizing Natural Language Processing Applications 7m Understanding NLP Tasks 4m Tokenizing Text 3m Removing Stopwords 3m Identifying Bigrams 2m Stemming and POS Tagging 3m Disambiguating Word Meanings 3m Contrasting Rule Based and Machine Learning Approaches 4m Understanding Types of Machine Learning Problems in NLP 5m Understanding the Mechanics of Machine Learning 4m
Auto-summarizing Text
Auto-summarizing Text Using a Rule-based Model 4m Understanding the Mechanics 3m Downloading an Article 6m Preprocessing Article Text 4m Extracting a Summary 9m
Classifying Text Using Machine Learning
Outlining the Objective 2m Building a Corpus of Tech Articles 7m Understanding the Clustering Workflow 10m Identifying Themes Using K-Means Clustering 10m Understanding the Classification Workflow 5m Assigning a Theme to an Article 5m
Description
Course info
Rating
(237)
Level
Beginner
Updated
Nov 14, 2016
Duration
1h 43m
Description

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.

About the author
Swetha Kolalapudi
About the author

Swetha loves playing with data and crunching numbers to get cool insights. She is an alumnus of top schools like IIT Madras and IIM Ahmedabad.

More from the author
Applying Real-time Processing Using Apache Storm
Beginner
2h 14m
Mar 9, 2017
Understanding Algorithms for Recommendation Systems
Beginner
2h 13m
Feb 1, 2017
Classification Using Tree Based Models
Beginner
1h 56m
Jan 6, 2017
More courses by Swetha Kolalapudi

You're the smartest person in the room

PROVE IT

Your team won't just close the skills gap

THEY'LL HURDLE IT