Current status and future prospects of research on the recognition of Academic Papers Masterpiece

DOI

10.2991/978-94-6463-498-3_9How to use a DOI?

Keywords

Academic Papers Masterpieces; Representative Identification; Research status

Abstract

[Purpose] This paper analyzes the development status of research on magnum opus recognition theory and methods in academic papers, and clarifies the future development direction of related research, which is aim at providing reference for subsequent research on the method system of magnus recognition. [Methods] This paper mainly uses the literature research method, subject analysis and content analysis method to carry out the whole research. The LDA topic model written based on python used as input to collect bibliographic data for topic clustering. According to the results of topic clustering, sort out the relevant theoretical system and method application, analyze the major and difficult problems in the process, and clarify research status and development trend of the theory and method of the recognition of academic papers masterpieces. [Conclusion and Prospect]Representative recognition is developing in the direction of intelligence, compound and network, however, the research on the theory and method of academic papers masterpieces is still not complete. There are still some problems in the recognition of masterpieces, such as the objects identification individual particularity, the disciplines and the research directions heterogeneity, the inflexibility of the combination of qualitative and quantitative methods, and the applicability of the masterpieces to authors of different levels. How to fully comprehend the semantic context information in the massive academic achievements and set up reasonable quantitative indicators of recognition is the future direction of representative recognition efforts we should make.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Wang Xu
AU  - Liu Hui
AU  - Zhang Ying
AU  - Ren Huiling
AU  - Wang Junhui
PY  - 2024
DA  - 2024/08/22
TI  - Current status and future prospects of research on the recognition of Academic Papers Masterpiece
BT  - Proceedings of 2023 China Science and Technology Information Resource Management and Service Annual Conference (COINFO 2023)
PB  - Atlantis Press
SP  - 92
EP  - 104
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-498-3_9
DO  - 10.2991/978-94-6463-498-3_9
ID  - Xu2024
ER  -