Research on Network Media News Visualization Based on FDCD-TFIDF Weighting Algorithm

DOI: https://doi.org/10.62517/jnme.202410114

Author(s)

Luqi He, Yuan Long, Ning Wang*, Zhanxiang Ma, Zeping Ma

Affiliation(s)

School of Data Science, Guangzhou Huashang School, Guangdong, 511300, China

Abstract

In the era of big data, online media has become an important source of news. However, the sheer volume of data makes it difficult for users to extract useful information from it. Therefore, news visualization has become an important means to help users understand the world more easily and quickly. Taking sports news data as an example, this paper uses FDCD-TFIDF algorithm to carry out important news weights on network media news in the era of big data, so that news push users can be more accurate and grasp current hot news more accurately. Meanwhile, this paper also explains the principle of FDCD-TFIDF and why in this research, the algorithm is more suitable for this kind of research. The accuracy of visual interface results also verifies the accuracy of the algorithm.

Keywords

Python; Data Visualization; Big Data; FDCD-TFIDF; Visualization

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