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DOI10.3758/s13428-019-01202-8
Analyzing social media data: A mixed-methods framework combining computational and qualitative text analysis
Andreotta, Matthew; Nugroho, Robertus; Hurlstone, Mark J.; Boschetti, Fabio; Farrell, Simon; Walker, Iain; Paris, Cecile
发表日期2019-08-01
ISSN1554-351X
EISSN1554-3528
卷号51期号:4页码:1766-1781
英文摘要To qualitative researchers, social media offers a novel opportunity to harvest a massive and diverse range of content without the need for intrusive or intensive data collection procedures. However, performing a qualitative analysis across a massive socia
关键词Big dataTopic modelingThematic analysisTwitterClimate changeJoint matrix factorizationTopic alignment
学科领域Psychology, Mathematical;Psychology, Experimental
语种英语
WOS记录号WOS:000481874200019
来源期刊BEHAVIOR RESEARCH METHODS
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/79996
作者单位Univ Western Australia, Sch Psychol Sci, 35 Stirling Highway, Perth, WA 6009, Australia
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GB/T 7714
Andreotta, Matthew,Nugroho, Robertus,Hurlstone, Mark J.,et al. Analyzing social media data: A mixed-methods framework combining computational and qualitative text analysis[J],2019,51(4):1766-1781.
APA Andreotta, Matthew.,Nugroho, Robertus.,Hurlstone, Mark J..,Boschetti, Fabio.,Farrell, Simon.,...&Paris, Cecile.(2019).Analyzing social media data: A mixed-methods framework combining computational and qualitative text analysis.BEHAVIOR RESEARCH METHODS,51(4),1766-1781.
MLA Andreotta, Matthew,et al."Analyzing social media data: A mixed-methods framework combining computational and qualitative text analysis".BEHAVIOR RESEARCH METHODS 51.4(2019):1766-1781.
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