21 Recipes for Mining Twitter

21 Recipes for Mining Twitter

Matthew Russell
你有多喜歡這本書?
文件的質量如何?
下載本書進行質量評估
下載文件的質量如何?
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. The recipes include techniques to:Use OAuth to access Twitter data Create and analyze graphs of retweet relationships Use the streaming API to harvest tweets in realtime Harvest and analyze friends and followers Discover friendship cliques Summarize webpages from short URLs This book is a perfect companion to O’Reilly’s Mining the Social Web.
年:
2011
出版商:
O’Reilly Media
語言:
english
頁數:
71
ISBN 13:
9781449303167
文件:
PDF, 1.18 MB
IPFS:
CID , CID Blake2b
english, 2011
下載 (pdf, 1.18 MB)
轉換進行中
轉換為 失敗

最常見的術語