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基于知乎平台内容挖掘的元宇宙公众感知研究OACHSSCDCSTPCD

Study of Public Perception of the Metaverse Based on Content Mining on Zhihu Platform

中文摘要英文摘要

[目的 /意义]通过分析公众对元宇宙中个体、业界、政府 3 方面内容的感知,针对性地为个体、企业、政府参与元宇宙生态建设提供建议.[方法/过程]参考三螺旋模型,构建基于个体—业界—政府维度的元宇宙公众感知分析框架,采用改进LDA和BERT算法,基于知乎问答分析公众对元宇宙中个体、业界、政府 3方面内容的感知主题,主题的热度、情感及相关演化.[结果/结论]公众在个体、业界、政府维度上的感知既有差异又有联系.演化上,公众关注点逐渐细化深入,态度受体验、舆论影响显著,但趋于理性.通过挖掘不同维度的热点、潜力点及问题,能针对性地为不同主体提供建议.

[Purpose/Significance]Through analyzing the public's perception of individual,industry,and govern-ment aspects in the metaverse,this paper provides targeted recommendations for individual,enterprise and government to better construct the metaverse ecosystem.[Method/Process]Referring to the Triple Helix Model,the paper constructed an analysis framework for public perception of the metaverse based on the individual-industry-government dimensions.Based on Zhihu Q&A data,the paper used improved LDA and BERT algorithms to analyze public perceptions of individual,in-dustry,and government aspects in the metaverse,including public's concerns,topic hotness,sentiment and their evolu-tion.[Result/Conclusion]The public's perception in the dimensions of individual,industry and government are different and related.From the perspective of evolution,the public's concerns are gradually refined and deepened,and their atti-tudes are significantly influenced by experience and public opinion,but are gradually becoming more rational.Through mining the hotspots,potential points,and existing issues in different dimensions,the paper provides targeted recommenda-tions for different participants.

范昊;庄逸彤

武汉大学信息管理学院, 湖北 武汉 430072

计算机与自动化

知乎平台元宇宙公众感知内容挖掘主题识别情感分析演化分析

Zhihu Platformmetaversepublic perceptioncontent miningtopic identificationsentiment analy-sisevolutionary analysis

《现代情报》 2024 (002)

65-80 / 16

国家自然科学基金面上项目"基于科学共同体知识大图的隐性合作关系发现与深度挖掘"(项目编号:72074172).

10.3969/j.issn.1008-0821.2024.02.006

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