Review
Textual Data Science with R
Biometrics, v 75(4), pp 1415-1416
Dec 2019
Abstract
Motivated by my interests in methods to understand the effects of built environment exposures on health, over the last several years I have developed an out of the box collaboration involving engineers, epidemiologists, and—the out of the box part—an anthropologist (NSF grant BCS-1744724). I was intrigued by the idea of “making better numbers” by putting together “big” ethnographic data (reams of photographs and textual data collected during long-term, direct observations of participants’ interactions with their neighborhood environment), with more typical “big” quantitative data including measures of the environment and participants’ use of the environment, for example, GIS- and GPS-based data (Roberts, LFS, personal communication, May 5, 2017). Thus, when the book “Textual Data Science with R” [Mónica Bécue-Bertaut, Boca Raton: CRC Press] came across my Biometrics Book Reviews Editor desk, I snatched the opportunity to review it! Admittedly, this review is written from a novice's perspective when it comes to textual data, and therefore, targeted toward other interested beginners. [Extract]
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Details
- Title
- Textual Data Science with R
- Creators
- Brisa N. Sanchez - Drexel University, Epidemiology and Biostatistics
- Publication Details
- Biometrics, v 75(4), pp 1415-1416
- Publisher
- Wiley
- Number of pages
- 2
- Resource Type
- Review
- Language
- English
- Academic Unit
- Epidemiology and Biostatistics
- Web of Science ID
- WOS:000620698400034
- Other Identifier
- 991021860810204721
InCites Highlights
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- Web of Science research areas
- Biology
- Mathematical & Computational Biology
- Statistics & Probability