Matthew Russell on Mining the Social Web / Russell, Matthew.

Format:

Video

Author/Creator:

Russell, Matthew, author.

Language:

English

Subjects (All):

Data mining.

Social media.

Genre:

Electronic videos.

Physical Description:

1 online resource (1 video file, approximately 3 hr., 13 min.)

Edition:

1st edition

Other Title:

Mining the social web

Place of Publication:

O'Reilly Media, Inc., 2011.

System Details:

video file

Summary:

Twitter has become a lean, mean data-collecting machine, and with this entertaining video course, you'll learn techniques for mining this vast wealth of information. Follow along as author and data analyst Matthew Russell shows O'Reilly's Director of Market Research how easy it is to uncover valuable Twitter data with basic Python tools and pragmatic storage technologies such as Redis and CouchDB. Matthew analyzes the Twitter stream of top-tweeter Tim O'Reilly, looks in-depth into a friendship network, and considers Freakonomic questions such as "What does Justin Bieber have in common with the Tea Party?" Based on portions of Matthew’s book, Mining the Social Web (O'Reilly, 2011), this fast-moving presentation is ideal for beginning to intermediate programmers, as well as data analysts, who want to find extraordinary nuggets of information in the Twitter data haystack.

Participant:

Presenter, Matthew Russell.

Notes:

Title from resource description page (viewed July 13, 2011).

Online resource; Title from title screen (viewed January 25, 2011)

OCLC:

741364965