| Title | Techniques for sampling online text-based data sets |
| Creator | |
| Date Issued | 2014 |
| Source Publication | Big Data Management, Technologies, and Applications |
| ISBN | 9781466647008 |
| Author/Editor of Source Publication | Wen-Chen Hu, Naima Kaabouch |
| Publication Place | Hershey, PA |
| Publisher | IGI Global |
| Pages | 95-114 |
| Abstract | The chapter reviews traditional sampling techniques and suggests adaptations relevant to big data studies of text downloaded from online media such as email messages, online gaming, blogs, micro-blogs (e.g., Twitter), and social networking websites (e.g., Facebook). The authors review methods of probability, purposeful, and adaptive sampling of online data. They illustrate the use of these sampling techniques via published studies that report analysis of online text. |
| Language | 英语English |
| DOI | 10.4018/978-1-4666-4699-5.ch005 |
| URL | View source |
| Scopus ID | 2-s2.0-84946112086 |
| Citation statistics |
Cited Times [WOS]:0
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| Document Type | Book chapter |
| Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/9872 |
| Collection | Research outside affiliated institution |
| Affiliation | 1.University of Arkansas,United States 2.Temple University,United States |
| Recommended Citation GB/T 7714 | Webb, Lynne M.,Wang, Yuanxin. Techniques for sampling online text-based data sets. Hershey, PA: IGI Global, 2014: 95-114. |
| Files in This Item: | There are no files associated with this item. | |||||
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