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User Profile & Attitude Analysis Based on Unstructured Social Media and Online Activity
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作者 Yuting Tan Vijay K. Madisetti 《Journal of Software Engineering and Applications》 2024年第6期463-473,共11页
As social media and online activity continue to pervade all age groups, it serves as a crucial platform for sharing personal experiences and opinions as well as information about attitudes and preferences for certain ... As social media and online activity continue to pervade all age groups, it serves as a crucial platform for sharing personal experiences and opinions as well as information about attitudes and preferences for certain interests or purchases. This generates a wealth of behavioral data, which, while invaluable to businesses, researchers, policymakers, and the cybersecurity sector, presents significant challenges due to its unstructured nature. Existing tools for analyzing this data often lack the capability to effectively retrieve and process it comprehensively. This paper addresses the need for an advanced analytical tool that ethically and legally collects and analyzes social media data and online activity logs, constructing detailed and structured user profiles. It reviews current solutions, highlights their limitations, and introduces a new approach, the Advanced Social Analyzer (ASAN), that bridges these gaps. The proposed solutions technical aspects, implementation, and evaluation are discussed, with results compared to existing methodologies. The paper concludes by suggesting future research directions to further enhance the utility and effectiveness of social media data analysis. 展开更多
关键词 Social Media user behavior Analysis Sentiment Analysis Data Mining Machine Learning user Profiling CYBERSECURITY behavioral insights Personality Prediction
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学术期刊用户洞察框架构建与应用研究
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作者 王利君 《江苏科技信息》 2023年第7期52-55,共4页
文章在分析总结期刊用户研究方面存在的不足后,提出将用户洞察理论应用到期刊用户研究中。以《河北工程大学学报(社科版)》为例,以用户科研过程为研究内容,详细介绍了学术期刊用户洞察框架构建过程。通过用户洞察,深刻理解不同用户群体... 文章在分析总结期刊用户研究方面存在的不足后,提出将用户洞察理论应用到期刊用户研究中。以《河北工程大学学报(社科版)》为例,以用户科研过程为研究内容,详细介绍了学术期刊用户洞察框架构建过程。通过用户洞察,深刻理解不同用户群体的差异,并制定了精准的、与之匹配的用户工作方案,提升了用户黏性和期刊运营能力。 展开更多
关键词 学术期刊 用户洞察 科研过程 行为特点 用户需求
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流行趋势预测及用户行为洞察的可视化决策平台构建 被引量:1
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作者 田玉晶 俞英 +1 位作者 黄惠寅 郑杨 《北京皮革(中外皮革信息版)(中)》 2019年第12期82-87,共6页
随着互联网的飞速发展,大数据为精准时尚产品研发带来了更好的工具和视角。针对时尚设计行业,按照交互式的运行原理,围绕消费者需求,集成相关数据,利用创新技术架构,构建数据可视化的决策系统,准确描述流行趋势预测、市场销售、消费者... 随着互联网的飞速发展,大数据为精准时尚产品研发带来了更好的工具和视角。针对时尚设计行业,按照交互式的运行原理,围绕消费者需求,集成相关数据,利用创新技术架构,构建数据可视化的决策系统,准确描述流行趋势预测、市场销售、消费者行为之间的结构化问题,实现更加精准的时尚趋势预测和用户行为洞察,协助品牌精准时尚趋势预测,完成对消费者快速认知和设计战略调整。 展开更多
关键词 流行趋势预测 用户行为洞察 大数据 可视化 决策系统
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