摘要
随着互联网的普及和社交媒体的迅速发展,大数据分析在网络社交中的应用变得愈加重要。文章旨在探讨大数据分析在网络社交领域的主要应用,包括用户行为数据分析、大数据广告收入统计以及情感分析与舆情监测。当前,大数据分析在网络社交中应用面临诸如数据隐私保护、数据质量问题和算法效率等挑战,其未来的发展方向涵盖引入更多的数据源、开发更精确的分析算法以及提升用户个性化体验等。
With the popularization of the Internet and the rapid development of social media,the application of big data analysis in online socializing has become increasingly important.The article aims to explore the main applications of big data analysis in the field of online social networking,including user behavior data analysis,big data advertising revenue statistics,and sentiment analysis and public opinion monitoring.Currently,the application of big data analysis in online social networking faces challenges such as data privacy protection,data quality issues,and algorithm efficiency.Its future development direction includes introducing more data sources,developing more accurate analysis algorithms,and improving personalized user experiences.
作者
王尚
WANG Shang(Guiyang Institute of Information Science and Technology,Guiyang 550025,China)
出处
《计算机应用文摘》
2024年第4期63-65,共3页
Chinese Journal of Computer Application
关键词
大数据分析
网络社交
隐私保护
big data analysis
online socializing
privacy protection