|Table of Contents|

Research on the Evolution Technology of Livelihood Topics in District Areas from Multiple Data Resources(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2023年03期
Page:
105-111
Research Field:
计算机科学与技术
Publishing date:

Info

Title:
Research on the Evolution Technology of Livelihood Topics in District Areas from Multiple Data Resources
Author(s):
Zhang Xiaoming; Shen Qing; Wang Fang; Zhao Peisen; Yu Zhanlu
(College of Information Engineering,Beijing Institute of Petrochemical Technology,Beijing 102617,China)
Keywords:
topic evolution;  livelihood;  evolution rate;  evolution index;  new crown pneumonia epidemic
PACS:
TP391
DOI:
10.3969/j.issn.1001-4616.2023.03.014
Abstract:
The topic of people's livelihood has always been a key social issue. The epidemic prevention and control in the past two years has injected new content into the focus and evolution of the topic. Based on a large number of collected regional livelihood topic data,the perplexities as LDA model are analyzed to show that the LDA topics from the multiple source data are more comprehensive than the individuals. Then,a kind of technique framework of livelihood topic evolution is put forward firstly. Some new ideas of heat evolution rate(ER)and keyword ER are created with detail definition and concrete algorithms. Furthermore,based on the HTDI model and keyword ER,the comprehensive model as livelihood topic evolution index(LTEI)is designed for topic evolution process. The data set is collected online from official Weibo,Baidu Tieba mainly in Daxing District of Beijing. The experimental results show that the TD-IDF model is more suitable for keyword ER than TextRank model. Compared with HTDI,the LTEI is more consistent with the evolution trend of actual topics and is more suitable for the evolution of regional livelihood topics.

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Last Update: 2023-09-15