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Mining the social web, Google+ : learn to mine data from a unique social network built around interest-based communities / with Mikhail Klassen.

By:

Klassen, Mikhail [speaker.]

Contributor(s):

Safari eBooks

Publisher: [Place of publication not identified] : O'Reilly, [2017]Description: 1 online resource (1 streaming video file (39 min., 52 sec.)) : digital, sound, colorContent type:

two-dimensional moving image

Media type:

computer
video

Carrier type:

online resource

Other title:

Mining the social web, Google plus

Subject(s):

Genre/Form:

Electronic books.

LOC classification:

HM743.G66

Online resources:

Click here to access online

Presenter, Mikhail Klassen.Summary: "Google+ is a social media platform that allows its users to create profile pages and submit posts to interest-based communities. It's become a useful platform for data mining because it organizes user posts according to topic, making it possible to obtain a lot of sample data on any given subject. This course, based on the book "Mining the Social Web" (O'Reilly Media) by Matthew Russell, teaches you how to mine Google+. You'll learn how to access Google+, download public posts, extract and parse text, and analyze the similarity of documents using natural language processing (NLP) techniques and the Python Natural Language Toolkit (NLTK). Learners should have a Google account and a basic understanding of Python."--Resource description page.

Item type:

eBooks

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Presenter, Mikhail Klassen.

Title from title screen (viewed October 5, 2017).

Date of publication from resource description page.

"Google+ is a social media platform that allows its users to create profile pages and submit posts to interest-based communities. It's become a useful platform for data mining because it organizes user posts according to topic, making it possible to obtain a lot of sample data on any given subject. This course, based on the book "Mining the Social Web" (O'Reilly Media) by Matthew Russell, teaches you how to mine Google+. You'll learn how to access Google+, download public posts, extract and parse text, and analyze the similarity of documents using natural language processing (NLP) techniques and the Python Natural Language Toolkit (NLTK). Learners should have a Google account and a basic understanding of Python."--Resource description page.