Getting Started with Natural Language Processing with Python

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Swetha Kolalapudi

1:43:36

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01 - Course Overview.mp4

01:47

02 - Recognizing Natural Language Processing Applications.mp4

06:51

03 - Understanding NLP Tasks.mp4

04:00

04 - Tokenizing Text.mp4

02:34

05 - Removing Stopwords.mp4

02:43

06 - Identifying Bigrams.mp4

02:12

07 - Stemming and POS Tagging.mp4

02:48

08 - Disambiguating Word Meanings.mp4

02:38

09 - Contrasting Rule Based and Machine Learning Approaches.mp4

03:46

10 - Understanding Types of Machine Learning Problems in NLP.mp4

04:44

11 - Understanding the Mechanics of Machine Learning.mp4

03:35

12 - Auto-summarizing Text Using a Rule-based Model.mp4

04:22

13 - Understanding the Mechanics.mp4

03:20

14 - Downloading an Article.mp4

06:08

15 - Preprocessing Article Text.mp4

03:59

16 - Extracting a Summary.mp4

08:44

17 - Outlining the Objective.mp4

02:11

18 - Building a Corpus of Tech Articles.mp4

07:22

19 - Understanding the Clustering Workflow.mp4

10:27

20 - Identifying Themes Using K-Means Clustering.mp4

09:53

21 - Understanding the Classification Workflow.mp4

04:45

22 - Assigning a Theme to an Article.mp4

04:47

Description

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.

What You'll Learn?

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.

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Python

Machine Learning

Artificial Intelligence

Natural Language Processing

Swetha Kolalapudi

Instructor's Courses

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. She was the first member of Flipkart’s elite Analytics team and was instrumental in scaling it to 100+ employees. Swetha has always had an entrepreneurial bent and a love for teaching. She now has the chance to do both as the co¬founder of Loonycorn, a content studio focused on providing high quality content for technical skill development. Loonycorn is working on developing an engine (patent filed) to automate animations for presentations and educational content.

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.