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Item #:
2119682
Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More
Item #:
2119682
XAF 21418
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Learn how to acquire, analyze, and summarize data from all corners of the social web and employ scientific computing tools to mine popular social web sites.
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Product Details
| Publisher | O'Reilly Media |
| Publication date | November 19, 2013 |
| Edition | 2nd |
| Language | English |
| Print length | 444 pages |
| ISBN-10 | 1449367615 |
| ISBN-13 | 978-1449367619 |
| Item Weight | 1.6 pounds (730 grams) |
| Dimensions | 7 x 0.94 x 9.19 inches (17.8 x 2.4 x 23.3 cm) |
Product Description
Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More
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Software Development Editorial Review
The "Mining the Social Web" book is described by customers as an amazing and valuable read, especially for non-techies looking to gain understanding of data mining Facebook, Twitter, LinkedIn, Google+, GitHub, and more. The book provides clear guidance, making it easy for the reader to understand potential uses and challenges for using social media data. It is recommended to opt for the E-BOOK VERSION to ensure an automatically updated interactive book. The virtual machine installation guide does not work properly, and some customers felt the book jumped and rambled too much. Despite these criticisms, it is agreed that the book provides excellent examples and explanation, making it easy to learn things faster.
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Pros
- Easy to understand for non-techies
- Provides clear guidance and examples
- Excellent explanation with available scripts
- Valuable read for all to help understand the implications of sharing personal data
Cons
- Outdated with non-functioning installation guide
Product Price History
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XAF 21418
Order now and get it around Sunday, October 25
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Features & Benefits
- Acquire, analyze, and summarize data from all corners of the social web
- Employ scientific computing tools to mine popular social web sites
- Use advanced techniques to extract meaning from human language data
- Build interactive visualizations with D3.js
- Take advantage of more than two-dozen Twitter recipes
- Example code is readily available.
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