基于文本挖掘的社会公众对人工智能的认知情感分析

Cognitive Sentiment Analysis of Artificial In-telligence by the Public Based on Text Mining

随着数字时代的到来和元宇宙的兴起,人工智能愈发地融入教育、医疗、公共交通、金融等各大领域,给商业方面带来变革性发展的同时,也对社会公众产生了潜移默化的影响。本文通过八爪鱼采集器爬取并挖掘一定期间内微博平台有关人工智能的相关话题,运用集搜客和ROST-CM6分析软件对话题发文内容等进行语义剖析和研究等相关的质性分析,进一步凸显公众对人工智能的认知和情感,由此得出结论:社会公众对于人工智能技术保持中立态度的居多,但呈现出负面态度的公众是远少于正向态度的。针对此本文从人工智能技术的应用、风险治理和舆情走向三个方面给出了针对性的建议措施,从而为专业人士对人工智能更好地发展升级和融入社会应用提供动态反馈数据。

With the advent of the digital age and the rise of the metaverse, artificial intelligence is increasingly integrated into major fields, such as education, medical care, public transportation, and finance, bringing transformative development to business, but also having a subtle impact on the public. This paper crawls the relevant topics about artificial intelligence on the Weibo platform within a certain period of time, adopts the method of combining text mining and qualitative analysis, con-ducts semantic analysis and research on the content of topic posts, further analyzes the public’s cognition and emotion of artificial intelligence, and gives targeted suggestions and measures, so as to provide dynamic feedback data for professionals to better develop and upgrade artificial intelli-gence and integrate into social applications.