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Open Access Article

Modern Social Science Research. 2025; 5: (6) ; 158-160 ; DOI: 10.12208/j.ssr.20250244.

Artificial intelligence-based affective computing methods in social media analysis and their commercial applications
社交媒体分析中的人工智能情感计算方法及其商业应用

作者: 杨涛 *

杭州蛟龙动漫设计有限公司 浙江杭州

*通讯作者: 杨涛,单位:杭州蛟龙动漫设计有限公司 浙江杭州;

发布时间: 2025-06-18 总浏览量: 161

摘要

在数字化时代,社交媒体平台成为公众表达情感和意见的重要场所。人工智能(AI)技术的发展使得自动分析这些海量数据中的情感信息成为可能,这为商业决策提供了新的视角和工具。本文探讨了基于AI的情感计算方法及其在商业领域的应用,通过分析当前研究现状和技术手段,旨在揭示其对商业策略制定的影响机制。利用AI进行情感分析不仅能提高品牌管理效率,还能增强消费者满意度及市场竞争力。技术挑战如准确性、隐私保护等问题亦不可忽视。

关键词: 人工智能;情感计算;社交媒体分析;商业应用;品牌管理

Abstract

In the digital era, social media platforms have become important venues for the public to express their emotions and opinions. The development of artificial intelligence (AI) technology has made it possible to automatically analyze the emotional information within these massive amounts of data, providing new perspectives and tools for business decision-making. This paper explores AI-based affective computing methods and their applications in the business field. By analyzing the current research status and technical means, it aims to reveal the impact mechanism on the formulation of business strategies. Using AI for sentiment analysis can not only improve the efficiency of brand management but also enhance consumer satisfaction and market competitiveness. However, technical challenges such as accuracy and privacy protection cannot be ignored.

Key words: Artificial intelligence; Affective computing; Social media analysis; Commercial application; Brand management

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引用本文

杨涛, 社交媒体分析中的人工智能情感计算方法及其商业应用[J]. 现代社会科学研究, 2025; 5: (6) : 158-160.