21 recipes for mining Twitter
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...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Beijing ; Sebastopol, California :
O'Reilly Media
2011.
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| Edición: | First edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628359406719 |
| Sumario: | 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 dataCreate and analyze graphs of retweet relationshipsUse the streaming API to harvest tweets in realtime |
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| Notas: | Description based upon print version of record. |
| Descripción Física: | 1 online resource (73 p.) |
| ISBN: | 9781449303624 9781306814478 9781449303853 9781449304096 |
