Trend Analysis of Dark Energy Research Based on the Word Frequency of ArXiv Papers

doi:10.3969/j.issn.1673-8578.2020.03.001

Abstract

Abstract:

Modern scientific research is becoming more and more specific, and changing more and more frequently. It is difficult to follow research trends and the progresses of frontier fields. This paper attempts to quantitatively trace the development of subjects by analyzing term frequency of scientific journal papers. We use the Automatic Extraction of Astronomical English Terms System to extract terminology from the full text of astronomical preprint papers published in the past 20 years, and to analyze the occurrence frequency of terms related to dark energy in the cosmology field. By investigating the correlation between the trends of these words over time and the dynamics of disciplinary research, we understand how scientific discoveries and hot-spots affect professional researches. Not only could it provides an objective quantitative method for the research progress and trend analysis, but also plays as a reference for research evaluation and scientific policy design in China.

Key words: scientific term, term extraction, word frequency analysis, cosmology, dark energy, research trend

CLC Number:

H083
P159

HOU Xiaolan, YU Heng, FAN Dongwei. Trend Analysis of Dark Energy Research Based on the Word Frequency of ArXiv Papers[J]. China Terminology, 2020, 22(3): 5-12.

Figures/Tables 6

References 14

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