Cantitate/Preț
Produs

21 Recipes for Mining Twitter

Autor Matthew A Russell
en Limba Engleză Paperback – 5 apr 2011
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.
Citește tot Restrânge

Preț: 16243 lei

Preț vechi: 20303 lei
-20%

Puncte Express: 244

Carte tipărită la comandă

Livrare economică 16-30 iulie

Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit de la 40000 lei Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.

Specificații

ISBN-13: 9781449303167
ISBN-10: 1449303161
Pagini: 72
Dimensiuni: 174 x 233 x 7 mm
Greutate: 0.14 kg
Editura: O'Reilly

Cuprins

Preface; Introduction; Conventions Used in This Book; Using Code Examples; Safari® Books Online; How to Contact Us; Chapter 1: The Recipes; 1.1 Using OAuth to Access Twitter APIs; 1.2 Looking Up the Trending Topics; 1.3 Extracting Tweet Entities; 1.4 Searching for Tweets; 1.5 Extracting a Retweet's Origins; 1.6 Creating a Graph of Retweet Relationships; 1.7 Visualizing a Graph of Retweet Relationships; 1.8 Capturing Tweets in Real-time with the Streaming API; 1.9 Making Robust Twitter Requests; 1.10 Harvesting Tweets; 1.11 Creating a Tag Cloud from Tweet Entities; 1.12 Summarizing Link Targets; 1.13 Harvesting Friends and Followers; 1.14 Performing Setwise Operations on Friendship Data; 1.15 Resolving User Profile Information; 1.16 Crawling Followers to Approximate Potential Influence; 1.17 Analyzing Friendship Relationships such as Friends of Friends; 1.18 Analyzing Friendship Cliques; 1.19 Analyzing the Authors of Tweets that Appear in Search Results; 1.20 Visualizing Geodata with a Dorling Cartogram; 1.21 Geocoding Locations from Profiles (or Elsewhere);