Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Research on accurate stereo portrait generation algorithm of scientific
  research team   In order to smoothly promote the establishment of scientific research
projects, accurately identify the excellent scientific research team, and
intuitively and comprehensively describe the scientific research team, it is of
great significance for the scientific research management department to
comprehensively understand and objectively evaluate the scientific research
team. At present, the research work on the construction of accurate
three-dimensional portrait of scientific research team is relatively less. In
view of the practical demand of scientific research management department, this
paper proposes an accurate stereo portrait generation algorithm of scientific
research team. The algorithm includes three modules: research team
identification, research topic extraction and research team portrait
generation. Firstly, the leader of the scientific research team is identified
based on the iterative middle centrality ranking method, and the members of the
scientific research team are identified through the 2-faction and snowball
methods, so as to realize the identification of the scientific research team.
Then, considering the statistical information of words and the co-occurrence
features of words in the research team, the research topics of the research
team are extracted to improve the accuracy of research topic extraction.
Finally, the research team portrait generation module generates the accurate
three-dimensional portrait of the research team through the generation of the
research team profile, the construction of the research cooperation
relationship, and the construction of the research team topic cloud. The
research team is identified on the data set of scientific research
achievements, and the accurate three-dimensional portraits of the research team
are generated and visualized. Experiments verify the effectiveness of the
proposed algorithm.

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The categories of this paper are: math
14
The categories of this paper are: math-ph
5
The categories of this paper are: gr-qc
26
The categories of this paper are: bayes-an
37
The categories of this paper are: supr-con
36
The categories of this paper are: cmp-lg
9
The categories of this paper are: nlin
15
The categories of this paper are: nucl-ex
32
The categories of this paper are: atom-ph
8
The categories of this paper are: hep-ex
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The categories of this paper are: hep-ph
34
The categories of this paper are: chem-ph
30
The categories of this paper are: q-alg
21
The categories of this paper are: adap-org
20
The categories of this paper are: acc-phys
29
The categories of this paper are: funct-an