2021 VOLUME 1 ISSUE 4
RESEARCH ARTICLE
Study on big data -related position portrait based on recruitment data
AUTHOR
Lei Liu, Xiang Xu
ABSTRACT
This paper mainly studies big data-related position portrait construction based on recruitment data crawled from the 51job website. We first use text mining technique to classify job information and accurately obtain the texts of two important aspects: work content and job requirements. We then apply the information extraction technique to extract labels describing different aspects of positions from structured and unstructured text data, and also adopt the Kano model to obtain more labels. Finally, we construct a multi-aspect and multi-dimensional position portrait through the sunburst chart. The position portrait constructed in this paper provides multi-dimensional analysis of the requirements of big data-related jobs and can help job seekers, enterprises, universities, and even third-party training institutions know the demand for talents and quickly determine the pertinence of a candidate's resume.
KEYWORDS
Position portrait; Text classification; Label extraction; Labeling system; Kano model; Sunburst chart; Sankey diagram