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Item Details
| Title:
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TWITTER DATA ANALYTICS
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| By: |
Shamanth Kumar, Fred Morstatter, Huan Liu |
| Format: |
Paperback |
| List price:
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£49.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
1461493714 |
| ISBN 13: |
9781461493716 |
| Publisher: |
SPRINGER-VERLAG NEW YORK INC. |
| Pub. date: |
12 November, 2013 |
| Edition: |
2014 ed. |
| Series: |
SpringerBriefs in Computer Science |
| Pages: |
77 |
| Synopsis: |
This brief provides methods for harnessing Twitter data to discover solutions to complex inquiries. The brief introduces the process of collecting data through Twitter's APIs and offers strategies for curating large datasets. The text gives examples of Twitter data with real-world examples, the present challenges and complexities of building visual analytic tools, and the best strategies to address these issues. Examples demonstrate how powerful measures can be computed using various Twitter data sources. Due to its openness in sharing data, Twitter is a prime example of social media in which researchers can verify their hypotheses, and practitioners can mine interesting patterns and build their own applications. This brief is designed to provide researchers, practitioners, project managers, as well as graduate students with an entry point to jump start their Twitter endeavors. It also serves as a convenient reference for readers seasoned in Twitter data analysis. |
| Illustrations: |
1 Tables, black and white; 26 Illustrations, black and white; X, 77 p. 26 |
| Publication: |
US |
| Imprint: |
Springer-Verlag New York Inc. |
| Returns: |
Returnable |
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