Author(s)

Yuchen Wu ¹, Ying Xiong ¹, Yi Wang ¹

Affiliation(s)

¹ Chinese Academy of Personal Science, 110100, Beijing, China

Corresponding Author

Yuchen Wu

ABSTRACT

The abundant talent information resources under the context of big data provide new opportunities for profiling of postdoctoral talents based on big data technology. The existing research on talent profiling carries out single-dimensional evaluation and measurement mostly based on limited information, and figures out some problems such as insufficient objectivity and incomplete evaluation and measurement, failing to meet China's prospective demand for labeling and selecting scientific talents in an all-round and efficient way. Talent profiling through information extraction (IE), big data association mining, artificial intelligence (AI), and other techniques can realize comprehensive and efficient labeling, selection and evaluation of talents based on the needs of different subjects, and thus can replace resumes, allowing employers to fully understand postdoctoral individuals and groups, overcome HR information asymmetry, leverage the prospective and guiding effect of talent introduction in China, and seize the initiative in global competition for talent.

KEYWORDS

Big Data, Postdoctoral Researcher, Talent Profiling

CITE THIS PAPER

Yuchen Wu, Ying Xiong, Yi Wang, Research on China's Postdoc Talent Profiling Based on Big Data. Journal of Artificial Intelligence Practice (2022) Vol. 5: 111-120. DOI: http://dx.doi.org/10.23977/jaip.2022.050115.

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