![cover of the book 21 recipes for mining Twitter: [distilling rich information from messy data]](/covers/files_200/2751000/a388d58aa722324c5abd69f019d0279b-g.jpg)
Ebook: 21 recipes for mining Twitter: [distilling rich information from messy data]
Author: Russell Matthew A
- Tags: DATA (COMPUTER SCIENCE), DATEN (INFORMATIK), DONNEES (INFORMATIQUE), RÉSEAUX SOCIAUX + SERVICES WEB + SOCIAL SOFTWARE (SOCIOLOGIE), SOCIAL NETWORKS + WEBCOMMUNITIES + SOCIAL SOFTWARE (SOCIOLOGY), SOZIALE NETZWERKE + WEBDIENSTE + SOZIALE SOFTWARE (SOZIOLOGIE), RÉSEAUX SOCIAUX + SERVICES WEB + SOCIAL SOFTWARE (SOCIOLOGIE)
- Year: 2011
- Publisher: O'Reilly Media
- City: Beijing
- Language: English
- epub
Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools. Each recipe offers a discussion of how and why the solution works, so you can quickly adapt it to fit your particular needs.
Download the book 21 recipes for mining Twitter: [distilling rich information from messy data] for free or read online
Continue reading on any device:
Last viewed books
Related books
{related-news}
Comments (0)