| 书目名称 | Twitter Data Analytics | | 编辑 | Shamanth Kumar,Fred Morstatter,Huan Liu | | 视频video | http://file.papertrans.cn/932/931269/931269.mp4 | | 丛书名称 | SpringerBriefs in Computer Science | | 图书封面 |  | | 描述 | 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. | | 出版日期 | Book 2014 | | 关键词 | Big data; Data mining; Social media; Twitter analytics; Visual analytics | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4614-9372-3 | | isbn_softcover | 978-1-4614-9371-6 | | isbn_ebook | 978-1-4614-9372-3Series ISSN 2191-5768 Series E-ISSN 2191-5776 | | issn_series | 2191-5768 | | copyright | The Author(s) 2014 |
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