基于关键词的舆情可视化分析

Dongjiao Zhang, Qi Guo, Zenan Ning, Lei Zhang, F. Wan
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引用次数: 0

摘要

随着社交媒体的发展,大型社交媒体的发展已经成为当今社会舆论的主要平台。特定条件下关键词舆情可视化分析采用数据挖掘技术、数据清洗技术和数据可视化技术。通过特定条件下的关键词评审和内容挖掘,对离散数据进行去噪、清洗,提取感兴趣的关键词事件和地理信息。通过对焦点区域地理分布的可视化表达,将标签云和地理地图相结合,获得关键词事件的舆情动态,为特定条件下的关键词舆情分析可视化开辟思路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visual Analysis of Public Opinion Based on Keywords
With the development of social media, the development of large-scale social media has become the main platform for public opinion today. Visual analysis of public opinion for keywords under specific conditions uses data mining technology, data cleaning technology and data visualization technology. Through keyword reviews and content mining under specific conditions, discrete data is denoised, cleaned, keyword events and geographic information of interest are extracted. Through the visual expression of the geographical distribution of the focus area, the tag cloud and the geographical map are combined to obtain the public opinion dynamics of keyword events, which opens up ideas for the visualization of public opinion analysis of keywords under specific conditions.
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