Research on Visual Analysis of Popular Science Content Dissemination Hotspots
Xing Wei Xu, Jiya Jiang, Yonglian Wei, Wei He · Atlantis highlights in social sciences, education and humanities/Atlantis Highlights in Social Sciences, Education and Humanities · 2023
In this paper, crawler technology is used to obtain data sets, and after automatic classification, visualization technology is used to analyze and study popular science content.The crawler technology uses the Python web crawler library, the automatic classification algorithm is based on Poisson distribution of Bayesian algorithm, and the visualization is realized through tableau.This paper observes and analyzes the data sets within the selected range from a new perspective, text clustering and research the digital dissemination of popular science content by hot spot analysis of the distribution of popular science news, so as to provide decision-making service reference for science popularization workers.